2026-08-21T17:55:40Z https://www.extrica.com/oai-pmh/oai2

oai:jvejournals.com:article/jve.24793 2025-08-15T21:51:09Z jve

Energy analysis of living stumps slope based on Hilbert-Huang Transform and marginal spectrum Yang, Hui Yin, Jun Jiang, Xueliang Lin, Hang Shen, Bo Wang, Haodong Seismic engineering and applications living stumps slope, shaking table test, living stumps support, HHT energy spectrum, marginal spectrum A large-scale shaking table model test on a slope with living stumps was designed and conducted. Under various types of seismic waves and excitation intensities, acceleration data from monitoring points on both sides of the living stumps were collected. Hilbert-Huang Transform (HHT) was innovatively applied to study the dynamic response of slopes with living stumps under seismic loading, overcoming the limitations of traditional Fourier Transform and Wavelet Transform. The variation patterns of Hilbert energy and marginal spectral characteristics under different seismic excitations were analyzed, providing new insights from both time-frequency domain and energy perspectives. The research conclusion showed that: (1) Under different seismic waves, the horizontal peak acceleration inside the living stumps slope shows the elevation amplification effect, and increases with the intensity of excitation. Additionally, the existence of living stumps causes a difference in horizontal acceleration on both sides, and the absolute value of the difference is positively correlated with elevation and excitation intensity. (2) Under different seismic waves, Peak of Hilbert energy spectrum (PSHEA) is positively correlated with excitation intensity and elevation. With the increase of elevation, the increase of PSHEA increases gradually when the excitation intensity increases. PMSA is positively correlated with excitation intensity, but at low frequencies (1-3 Hz), Peak of marginal spectrum (PMSA) is negatively correlated with elevation; while at high frequencies (7-11 Hz), PMSA is positively correlated with elevation. (3) With increasing elevation and excitation intensity, the total seismic Hilbert energy continues to accumulate and reaches the maximum at the top of the slope. During the propagation of seismic waves, the living stumps and the rock-soil composite play the characteristics of filtering the low-frequency components and amplifying the high-frequency components, causing the total seismic Hilbert energy in the low-frequency (1-3 Hz) component to gradually decrease and transfer to the high-frequency (7-11 Hz) component, resulting in a significant increase in seismic Hilbert energy in the high-frequency component. (4) The superposition of incident wave and reflected wave near the living stumps, and the absorption of seismic Hilbert energy by the living stumps make the PSHEA, PMSA, and total seismic Hilbert energy on the outside of the living stumps always smaller than the inside, resulting in different dynamic responses on either side of the living stumps. The living stumps show attenuation effect on seismic Hilbert energy, and the attenuation degree increases with the increase of excitation intensity and elevation. The study provides a theoretical basis for the seismic design of living stumps slopes. Extrica 2025-05-31T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24793 Journal of Vibroengineering, Vol. 27, Issue 5, 2025, p. 857-881. 1392-8716 2538-8460 en Copyright © 2025 Hui Yang, et al.

oai:jvejournals.com:article/jve.24905 2025-08-15T21:51:09Z jve

Dynamic performance analysis of 1000 MW double reheat steam turbine foundation Shen, Zhaowei Sun, Xiaohong Cheng, Zhipeng Mechanical vibrations and applications power equipment, steam turbine foundation, finite element model, dynamic performance, optimization design In recent years, power equipment has been developing towards low-carbon, high-efficiency, and green environmental protection. The double reheat unit has been increasingly employed in power plants due to its advantages of low energy consumption and less pollution. As a core component of power plants, the dynamic performance analysis of the steam turbine foundation is essential for ensuring the overall safety of double reheat unit. For this reason, the dynamic performance of a steam turbine foundation is investigated based on the engineering background of frame-type reinforced concrete foundations of 1000 MW double reheat steam turbine set in a power plant. The solid finite element model of the steam turbine foundation is first established by using ANSYS software, along with a detailed description of foundation information and modelling methodology. Subsequently, the dynamic characteristic and response analyses of the steam turbine foundation are performed to evaluate its dynamic performance, respectively. The results indicate that the 1000 MW steam turbine foundation demonstrates satisfactory dynamic performance. Within the operating speed range, the transverse, longitudinal, and vertical vibration displacements of the foundation bearings and columns remain below 20 μm, while the vibration velocity does not exceed 3.8 mm/s, both of which comply with relevant specifications. Moreover, enhancing the stiffness of the fifth and sixth beams, along with increasing the cross-sectional area of columns C3 and C4 on the steam turbine foundation, should be considered to mitigate its vibration responses and thus improve its dynamic performance. The research findings can serve as a reference for the type selection and optimization design of 1000 MW double reheat steam turbine foundations. Extrica 2025-06-30T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24905 Journal of Vibroengineering, Vol. 27, Issue 5, 2025, p. 807-819. 1392-8716 2538-8460 en Copyright © 2025 Zhaowei Shen, et al.

oai:jvejournals.com:article/jfocg.25063 2025-12-31T13:51:03Z jfocg

About long-term stability of functional treatment Bimler Rhodes, A.-B. functional treatment, long term stability, cephalometric considerations Relapse has always been the main problem in orthodontics. But is it due to the treatment method? Or the age of the patient or the anatomy of the skull? At the examples of some case histories, these questions are considered and hopefully, will contribute a bit to this eternally controversial subject. Extrica 2025-09-29T00:00:00Z Research article https://doi.org/10.21595/jfocg.2025.25063 Jaw Functional Orthopedics and Craniofacial Growth, Vol. 5, Issue 2, 2025, p. 57-63. 2669-2783 en Copyright © 2025 A.-B. Bimler Rhodes.

oai:jvejournals.com:article/jve.24845 2025-08-15T21:51:09Z jve

Improved CEEMD-based correction method for low-frequency shock response spectrum in large dual-wave shock tester devices Wang, Peng Zheng, Lu Yan, Ming Mechanical vibrations and applications dual-wave shock tester device, SRS, cross-correlation analysis, K-means clustering, low-frequency spring oscillator The shock response spectrum (SRS), calculated from a shock acceleration signal, is a critical indicator of shock environments. However, under intense loads, acceleration sensors are prone to trend term errors that can cause significant drift in the low-frequency spectral lines of large dual-wave shock tester devices. To address this issue, the complementary ensemble empirical mode decomposition (CEEMD) method was employed to decompose acceleration signals and restore the actual shock environment. Intrinsic mode functions (IMFs) were cross-correlated and compared to a predefined threshold to identify the effective IMF components required to reconstruct the signal. K-means clustering was employed to further validate the effectiveness of the IMFs for enhanced selection accuracy. Finally, the reconstructed acceleration signal was used to calculate a corrected SRS. The proposed approach demonstrated significant improvements over the traditional CEEMD algorithm. The corrected SRS exhibits a 5.6316 dB/oct slope in the low-frequency band, reflecting an equal displacement trend. The maximum error at the corresponding frequency was less than 6 % in comparison to the relative displacement response measured by low-frequency spring oscillators. This improved CEEMD correction method can effectively restore the actual shock environment of a dual-wave shock tester device, offering a valuable reference for evaluating shock resistance in onboard equipment. Extrica 2025-07-18T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24845 Journal of Vibroengineering, Vol. 27, Issue 5, 2025, p. 771-788. 1392-8716 2538-8460 en Copyright © 2025 Peng Wang, et al.

oai:jvejournals.com:article/jve.24851 2025-08-15T21:51:09Z jve

Vibration and noise performance analysis and optimal design of V-rotor in permanent magnet synchronous motor: a new strategy for high efficiency and low noise Gu, Dawei Shi, Dashuai Liu, Zhengqing Xu, Zhuo Pan, Baisong Geng, Tie Wen, Bangchun Modal analysis and applications IPMSM, electromagnetic noise, orthogonal experimental design, non-parametric regression, response surface methodology optimization Interior Permanent magnet synchronous motors (IPMSMs) have become the preferred powertrain solution for electric vehicles due to their exceptional performance characteristics. However, the high-frequency electromagnetic noise generated during motor operation poses a significant challenge to occupant comfort within the vehicle. This study provides a comprehensive analysis of the electromagnetic forces, modal characteristics, and vibration noise for a 12-pole, 36-slot IPMSM, incorporating theoretical and simulation-based approaches as well as modal tests. By innovatively combining orthogonal experimental design with nonparametric regression techniques, a response surface model is developed to accurately characterize and optimize the radial electromagnetic force harmonics of the motor. The optimization results reveal a significant 37.7 % reduction in the motor’s surface vibration velocity and an 8.5 % decrease in peak noise levels, successfully meeting the engineering objectives for vibration and noise attenuation. This study not only contributes to the advancement of noise control technologies in electric vehicle power systems but also provides novel insights and methodologies for motor design, offering significant practical value and engineering relevance. Extrica 2025-07-18T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24851 Journal of Vibroengineering, Vol. 27, Issue 5, 2025, p. 882-898. 1392-8716 2538-8460 en Copyright © 2025 Dawei Gu, et al.

oai:jvejournals.com:article/jve.24748 2025-08-15T21:51:09Z jve

Experimental analysis of running wheel for a straddle monorail vehicle Zhao, Zengchuang Wu, Pingbo Ren, Lihui Vibration in transportation engineering straddle type monorail vehicle, six-component force of tire, wheel fatigue, dynamic stress This article conducts in-depth research on the force analysis of the test running wheel of a certain type of straddle monorail vehicle, based on the tire six-component force test and wheel dynamic stress test. The main research objective is to accurately identify the factors affecting the wheel strength, thereby providing a solid foundation for subsequent design optimization and safety enhancement. The research commences with a meticulous calibration of the vehicle connecting rod in the laboratory, aiming to acquire the “force-strain” coefficients under both tension and compression conditions. A novel approach lies in the verification of calibration accuracy through a detailed comparison with experimental results, ensuring the reliability of subsequent data acquisition. By strategically installing displacement sensors at various positions to measure the vehicle's dynamic displacement and detecting the strain of the connecting rod, the study innovatively calculates the six-component force data of the tire, which provides a comprehensive data basis for analyzing the forces acting on the wheel hub. Then evaluating the fatigue strength of the wheel hub under AW0 and AW3 operating conditions based on the IIW standard, the research uncovers unique findings. It is revealed that, although the maximum dynamic loads of the vertical force of the running wheel, the lateral force of the guide wheel, and the lateral force of the stabilizing wheel are within the limit load range with a certain safety margin, there are 1 point and 3 points on the wheel hub under AW0 and AW3 working conditions, respectively, that fail to meet the fatigue strength criterion requirements. The maximum equivalent force amplitude at Measurement Point 3 of the inner hub reaches 51.4 MPa, while the calculated service mileage is only 31,000 kilometers. This discovery is of great significance as it precisely pinpoints the weak points of the wheel hub, which is a major contribution to the field. Moreover, during the analysis of the wheel hub's dynamic stress during emergency braking and the influence of polygonal wear on it, the research confirms that there is no abnormal change in the wheel hub’s dynamic stress during emergency braking, and the polygonal wear of the tire shoulder has a negligible impact on the wheel hub’s dynamic stress. These results not only calculate the six-component force data of the tire but also break new ground in understanding the interaction between different factors and the wheel hub’s performance. Extrica 2025-07-19T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24748 Journal of Vibroengineering, Vol. 27, Issue 5, 2025, p. 925-940. 1392-8716 2538-8460 en Copyright © 2025 Zengchuang Zhao, et al.

oai:jvejournals.com:article/jve.24806 2025-08-15T21:51:09Z jve

Study on the variation mechanism of non-linear stiffness of rubber O-ring Deng, Ting Yin, Xunyan Yan, Yuqi Zhou, Hailun Zhang, Ran Vibration control, generation and harvesting O-ring damper, nonlinear stiffness, contact pressure, numerical simulation O-ring dampers can be used as vibration-damping elements for short-life, low-cost engines, and the selection of a suitable rubber superelastic-viscoelastic ontological model to study their stiffness and damping is an important prerequisite for determining their vibration-damping characteristics. The superelastic-viscoelastic constitutive model consists of two models, superelastic and viscoelastic, in which the superelastic model reflects the static characteristics of the O-ring. Therefore, it is the basis of the study of dynamic characteristics to carry out the research on the static stiffness of the O-ring and to select an accurate superelastic model to describe its deformation and recovery characteristics under different working conditions. Based on the fact that the O-ring is in a small deformation range in the damper and the applicability of finite element simulation, the Mooney-Rivilin superelastic constitutive model is selected in this paper. Establish a three-dimensional finite element model of the O-ring damper, focusing on the analysis of the effect of temperature on the O-ring material properties and damper structure, to reveal the mechanism of non-linear stiffness change of the O-ring damper. At the same time, the accuracy of the hyperelastic model is verified by the test method, which lays a foundation for the study of the dynamic stiffness and damping characteristics of the O-ring. The results show that in the pre-compression state, there is a large contact pressure between the O-ring and the inner and outer rings of the damper. The contact pressure increases linearly during the compression process, and the stiffness of the O-ring changes linearly. In the non-pre-compression state, the contact pressure is 0, the contact pressure increases nonlinearly during the compression process, and the stiffness of the O-ring shows obvious nonlinear characteristics. In addition, the static stiffness of the O-ring increases with the increase of pre-compression amount, increases with the increase of material hardness, and decreases with the increase of temperature. The above research provides a reference for selecting the appropriate O-ring material size and installation conditions in the project to ensure that the O-ring can effectively withstand pressure during use. Extrica 2025-08-12T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24806 Journal of Vibroengineering, Vol. 27, Issue 5, 2025, p. 839-856. 1392-8716 2538-8460 en Copyright © 2025 Ting Deng, et al.

oai:jvejournals.com:article/jve.24852 2025-08-15T21:51:09Z jve

Coupling dynamics modeling and vibration characteristics analysis of TBM main drive system under complex tunnelling conditions Li, Zhongyue Jiang, Yongjian Xu, Wenjun Tang, Lijian Fu, Kai E, Shiju Wu, Hanyang Mechanical vibrations and applications TBM main drive system, dynamic characteristics, impact load, composite strata In order to ensure the reliable operation of TBM excavation process, it is particularly important to analyze the vibration characteristics in complex surrounding rock environments. The coupling dynamics model of the TBM main drive system proposed in this article considers the structural characteristics of distributed support and multi-source inputs, as well as nonlinear internal excitations such as bearing dynamic stiffness, gear meshing error, and tooth side clearance, which can more accurately calculate the dynamic characteristics of the main drive system. Based on the TBM scale test-bed, the modeling method and the vibration response of the main components were compared and verified. Based on the coupled dynamic model of the main driving system, the vibration characteristics of the driving system were analyzed under different excavation penetrations and different proportions of soft and hard surrounding rocks. The analysis results show that during the process of penetration from 5 mm to 6 mm, the average vibration increase speed is the highest, reaching 0.1493 g/mm. As the proportion of soft surrounding rock increases, the lateral unbalanced load and torque of the cutterhead significantly increase. Meanwhile, as the proportion of soft surrounding rock increases, the corresponding rate of load increase significantly increases. Within the range where the proportion of soft surrounding rock increases from 21 % to 35 %, its lateral overturning vibration RMS value increases by 13.08 %. Within the range where the proportion of soft surrounding rock increases from 35 % to 50 %, its lateral overturning vibration RMS value increases by 32.18 %. This can easily cause safety accidents such as the fracture of key load-bearing components of the system during the excavation process. Extrica 2025-08-13T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24852 Journal of Vibroengineering, Vol. 27, Issue 5, 2025, p. 789-806. 1392-8716 2538-8460 en Copyright © 2025 Zhongyue Li, et al.

oai:jvejournals.com:article/mme.23815 2025-09-30T08:59:15Z mme

Stodola-Vianello iteration method for the free flexural vibration frequencies of Shimpi’s single variable shear deformable beams Ike, Charles Chinwuba single variable shear deformation beam theory, Stodola-Vianello iteration method, natural vibration frequency forced vibration, vibration mode The natural vibration frequency analysis of beams is vital for their design against resonance failures because such failures occur when the excitation load frequencies of vibration coincide with such natural frequencies. This work presents a single variable shear deformable beam equation formulated using Shimpi’s displacement field assumptions. This results in a quadratic shear stress profile over the depth and a satisfaction of the transverse shear stress-free boundary conditions. The governing equation is obtained using a first principles consideration and equilibrium method as a partial differential equation (PDE) which is non-homogenous for forced vibrations and homogeneous for free vibrations. The study then used the Stodola-Vianello iteration method to solve the resulting homogeneous PDE for simply supported boundary conditions and harmonic response. The problem reduced to an iterative problem of algebra involving the computation of an (n+1)th vibratory modal shape function from an nth shape function that satisfies the boundary conditions. This work used a sinusoidal shape function which is exact for the simply supported boundary condition investigated. The use of boundary conditions solved the integration constants involved. Application of the convergence rule led to the eigenequation from which the eigenvalues were found. The eigenvalues were presented for the first four modes of vibration and for a rectangular beam. It was found that for l/h varying from 5 to 100, the natural vibration frequencies were identical with the ωn values obtained using Navier method for other thick beam vibration problems. It was also found that ωnwas close to the exact values for all vibration modes and for all values of l/h between 5 and 100. For all vibration modes and all considered l/h values negligible differences, were observed between the ωn obtained using SVIM and the exact values obtained by previous researchers. Extrica 2025-07-02T00:00:00Z Research article https://doi.org/10.21595/mme.2023.23815 Mathematical Models in Engineering, Vol. 11, Issue 3, 2025, p. 97-116. 2351-5279 2424-4627 en Copyright © 2025 Charles Chinwuba Ike.

oai:jvejournals.com:article/jme.24649 2025-09-30T09:00:01Z jme

Effect of Si addition on phase structure and wear resistance of CoCrFeMoNi alloy coatings Ma, Mingxing Zhu, Chengjun Wang, Zhixin Xi, Yanjun Wang, Bozhen CoCrFeMoNi, phase structure, wear resistance, high entropy alloy CoCrFeMoNi high entropy alloy coating was prepared on Q235 substrate by plasma cladding method. The phase structure, morphology characteristics, element distribution, microhardness, and wear resistance for this alloy without and with Si doping were investigated by XRD, OM, SEM, EDS, microhardness tester, and friction-wear tester, respectively. The results show that CoCrFeMoNi alloy is composed of a single FCC phase, while Si-containing alloy is composed of FCC main phase and HCP phase. Both alloys have a typical dendritic structure. There is a layer of isotropic fine-grained region near the fusion line, and a columnar crystal region away from the fusion line. After adding Si element, the enrichment of Mo element in the interdendrite region and Co element in the dendrite region significantly decreased, which is related to the Si-containing alloy can provide a liquid environment with longer duration, lower viscosity, and greater fluidity. The change of Cr element enrichment from interdendrite region to dendrite region is the result of comprehensive competition of mixing enthalpy, atomic radius difference, electronegativity, density, and melt flowability between alloying elements. The friction coefficients of the two alloys show a rapid increase first and then gradually stabilize with the increase of time. After adding Si element, the hardness and wear resistance of the alloy are greatly improved, which is mainly related to the increase of the lattice distortion of FCC phase, the formation of high-strength HCP phase and the reduction of internal defects. Extrica 2025-04-24T00:00:00Z Research article https://doi.org/10.21595/jme.2025.24649 Journal of Measurements in Engineering, Vol. 13, Issue 3, 2025, p. 534-546. 2335-2124 2424-4635 en Copyright © 2025 Mingxing Ma, et al.

oai:jvejournals.com:article/jme.24742 2025-09-30T09:00:01Z jme

Feature data analysis of dance movements by motion capture Lu, Chao motion capture, dance movement, spatio-temporal graph convolution, classification effect, feature data Motion capture technology has been applied in more and more fields, but the research in the field of dance is relatively rare. In order to combine motion capture technology with dance research, better understand the characteristics of dance movements, and provide support for their digital analysis, this paper mainly studied the application of a motion capture technology called Kinect in the analysis of dance movement feature data. The skeleton data of different dance movements was first collected based on Kinect v2, and then the collected data was analyzed using a spatio-temporal graph convolutional network (ST-GCN). On the basis of the original ST-GCN, the multi-branch structure was adopted to realize co-occurrence feature learning, and the bone length feature and direction feature were introduced to further enrich the feature data. Experiments were carried out on the NTU RGB+D and dance datasets. It was found that the improved ST-GCN had better performance than other current motion classification approaches on the NTU RGB+D. The top-1 accuracy for cross-subject (CS) and cross-view (CV) was 92.4 % and 96.7 %, respectively, and the average accuracy of different dance movements for the dance dataset was 96.035. The findings confirm the effectiveness of the proposed approach in the analysis of dance movement feature data, and it can be applied in the actual research of dance movements. Extrica 2025-05-06T00:00:00Z Research article https://doi.org/10.21595/jme.2025.24742 Journal of Measurements in Engineering, Vol. 13, Issue 3, 2025, p. 701-708. 2335-2124 2424-4635 en Copyright © 2025 Chao Lu.

oai:jvejournals.com:article/jve.24932 2025-11-15T13:35:13Z jve

Aeroelastic stability analysis and optimal PID control strategy simulation for large-scale HAWT blades Cui, Qinghu Liu, Tingrui Ding, Deyou Vibration control, generation and harvesting classical chattering, stability analysis, optimal PID, pitch control, Simulink simulation Aiming at the classical flutter problem of wind turbine blades, a wind turbine blade aeroelastic model is constructed based on the typical leaf cross-section model of spring-mass-damper and the classical flutter aerodynamic model. The stability analysis of the wind turbine aeroelastic model is carried out using the Liapunov indirect method, and the effects of different parameters on stability are compared. Combining the aeroelastic model with the second-order model of pitch exciter, the pitch aeroelastic equation of the system is given, and the system controllability is analyzed. The optimal PID pitch control is designed, and the Simulink simulation is performed to explore the optimal combination under different combinations by selecting the torsion angle and waving displacement as the error signals, and different combinations of the torsion angle, waving displacement, and pitch angle as the optimal control objectives, respectively. The simulation results show that when the torsional angle is used as the error feedback signal and the torsional angle is set as the optimal control objective, it is the only scenario without overshoot. The overshoot in other cases ranges from 30 % to 500 %. In terms of adjustment time, this scenario also demonstrates good performance. Although it is not the fastest, the gap from the fastest is no more than 20 %. Therefore, using the torsional angle as the error feedback signal and the torsional angle as the optimal control objective is the best choice. Extrica 2025-09-03T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24932 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1296-1312. 1392-8716 2538-8460 en Copyright © 2025 Qinghu Cui, et al.

oai:jvejournals.com:article/jve.24982 2025-11-15T13:35:13Z jve

PSO-PPO-based reinforcement learning control strategy for active suspension systems under multiple operating conditions Tan, Wei Zeng, Guoqing Wei, Xiankun Ma, Ke Cao, Qi Vibration in transportation engineering active suspension, particle swarm optimization, proximal policy optimization, multi-operating conditions To address the poor generalization capability and extended training duration of reinforcement learning (RL)-based active suspension control systems, this study proposes a PSO-PPO algorithm for multiple operating condition suspension control. The methodology initiates with establishing a 4-DOF suspension dynamic model under three characteristic driving conditions: constant-speed operation, vehicle launch, and emergency braking, which is subsequently converted into state-space representation. The novel PSO-PPO framework synergizes particle swarm optimization with proximal policy optimization to train condition-specific agents. Based on the trained optimal agents, the entropy weight method is applied to adjust the reward function weight coefficients to develop a generalized multi-condition controller. Finally, the control effectiveness of the PSO-PPO algorithm is validated through constant-speed, launch, emergency braking, and multi-condition concatenated scenarios. Simulation results demonstrate that the PSO-PPO algorithm achieves shorter training times while maintaining balanced performance in ride comfort, handling stability, and safety across all conditions. Extrica 2025-09-07T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24982 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1329-1355. 1392-8716 2538-8460 en Copyright © 2025 Wei Tan, et al.

oai:jvejournals.com:article/jve.25122 2025-11-15T13:35:13Z jve

Vibration characteristics testing and vibration reduction optimization design of four-wheel-drive micro-tiller handlebar assembly Yang, Jin Dai, Shengjie Liu, Yide Zhang, Heng Liu, Lichao Mechanical vibrations and applications walk-behind tiller, handlebar, vibration characteristics, modal analysis, vibration reduction optimization Micro-tillers are essential for agricultural operations in hilly and mountainous regions, yet their severe vibrations pose significant health risks to operators, including hand-arm vibration syndrome. This study presents an innovative vibration reduction solution through the installation of a damping spring isolator at the handle-frame connection point. Comprehensive vibration testing revealed that the vertical vibration under tillage conditions reached 2.15 m/s2 RMS, with spectral analysis identifying critical excitation frequencies at 39 Hz, 78 Hz, and 156 Hz. Constrained modal analysis demonstrated that the handle frame's third-order natural frequency of 41.02 Hz risked resonance with the engine’s 39 Hz excitation. The optimized isolator system, designed with a damping ratio of ξ= 0.2, successfully reduced this critical frequency to 34.87 Hz (15 % reduction), effectively avoiding resonance. Field validation showed significant vibration attenuation, with RMS values decreasing by 14.17 % (idle), 17.61 % (no-load), and 23.26 % (tillage), while achieving 19.3 % vibration energy absorption during operation. This research represents the first successful integration of isolation and damping mechanisms for micro-tiller handle frames, providing a cost-effective solution (< 1.5 % of machine cost) that significantly improves operator comfort and addresses long-standing ergonomic challenges in small-scale agricultural machinery. The solution's simple implementation without structural modifications makes it particularly suitable for widespread adoption in developing regions. Extrica 2025-09-24T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25122 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1194-1211. 1392-8716 2538-8460 en Copyright © 2025 Jin Yang, et al.

oai:jvejournals.com:article/jve.24887 2025-11-15T13:35:13Z jve

Dynamic detection and evaluation of wheel flats in heavy-haul railway wheelsets using wayside monitoring systems Jin, Ziqi Peng, Xinyu Zhang, Zhenyu Nie, Yongfu Su, Kang Vibration in transportation engineering heavy-haul railways, wheelset faults in freight vehicles, rigid-flexible coupling dynamic model, dynamic response of wheel-rail forces, early warning method In recent years, heavy-haul railways have become a critical direction for freight transport in China, with wheel flats in wheelsets posing significant threats to operational safety and infrastructure integrity. Traditional detection methods (e.g., manual inspection, TPDS) suffer from low efficiency or limited accuracy in characterizing flat features. To address this, this study develops a rigid-flexible coupling dynamic model for C80 wagons with K6 bogies, uniquely integrated with field data from the Truck Operation Detection System (TODS) to bridge simulation and engineering application gaps. Focusing on wheel-rail force responses under wheel flat conditions, we establish a quantitative mapping relationship between flat length, vehicle speed, and impact force through polynomial fitting of simulation data (10-80 km/h for empty/loaded vehicles). To validate feasibility, a 56-channel wayside monitoring system (TODS) is installed on a heavy-haul railway, calibrated via hydraulic loading to ensure measurement accuracy. Field tests (80,541 vehicles monitored) confirm that TODS can infer flat length from detected impact forces, with results consistent with TPDS alarms but offering finer characterization of flat dimensions. This work provides a practical solution for real-time wheel flat detection, enhancing maintenance efficiency and safety in heavy-haul operations. Extrica 2025-09-24T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24887 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1356-1368. 1392-8716 2538-8460 en Copyright © 2025 Ziqi Jin, et al.

oai:jvejournals.com:article/jve.25117 2025-11-15T13:35:13Z jve

Acoustic detection of fan blade faults based on dynamic Cauchy swarm algorithm to optimize support vector machine Yang, Wangchun Chen, Shuanghui Acoustics, noise control and engineering applications dynamic Cauchy colony algorithm, support vector machine, fan blade, acoustic fault detection Fan blades operate in outdoor environments, where the detection of sound signals is susceptible to interference from background noise such as random loads, wind speed, rainwater, and other ambient noise. Therefore, this article proposes an acoustic detection method for wind turbine blade faults based on a dynamic Cauchy bee colony algorithm-optimized support vector machine. First, the signal is preprocessed using a Butterworth bandpass filter, and the full frequency band is divided into sub-bands using the octave band feature extraction method. Based on frequency domain analysis, the natural frequency offset of the blade is determined. Next, the dynamic Cauchy bee colony algorithm is applied to optimize support vector machine parameters, while moving average and bandpass filtering are used to smooth the noise power curve and extract impeller speed information. The experimental results show that the proposed method converges in fitness value after 22 iterations, with a detection time of only 6.8 seconds and small fluctuations in impeller speed amplitude. In terms of classification performance, the accuracy of detecting normal samples is 0.95, the recall rate is 0.96, and the F1 score is 0.95. The method demonstrates high prediction accuracy and stability for various types of fault samples and can be reliably applied to the acoustic detection of wind turbine blade faults. Extrica 2025-09-24T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25117 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1369-1384. 1392-8716 2538-8460 en Copyright © 2025 Wangchun Yang, et al.

oai:jvejournals.com:article/jve.25034 2025-11-15T13:35:13Z jve

Small sample fault diagnosis method based on dual convolutional kernel feature fusion and channel attention weighted temporal convolutional network (DCK-CAM-TCN) Luo, Shuangqiang Gong, Xiaoyun Du, Wenliao Wang, Liangwen Feng, Kunpeng Qian, Yahong Fault diagnosis based on vibration signal analysis small sample fault diagnosis, TCN, channel attention mechanisms, feature fusion In actual industrial environments, equipment failures often occur sporadically during operation, resulting in insufficient labeled data for training. To address the issues of difficult feature extraction and poor generalization caused by insufficient data in small-sample fault diagnosis, a small sample fault diagnosis method based on dual convolutional kernel feature fusion and channel attention weighted temporal convolutional network (DCK-CAM-TCN) is proposed. Firstly, dual convolution kernels are employed to extract signal features, with the large kernel capturing low-frequency components and the small kernel extracting additional features to enhance the network's expressiveness. Secondly, the channel attention mechanism adaptively adjusts the feature responses of each channel, enabling the network to focus on the most informative and relevant features while suppressing unimportant ones. Finally, the Temporal Convolutional Network (TCN) is utilized to capture dependency features within long time series, further improving the model's ability to process sequential data. Experimental results demonstrate that the DCK-CAM-TCN model significantly outperforms traditional Convolutional Neural Networks (CNNs) and other comparison models in small-sample scenarios. The results indicate the significant advantages of the DCK-CAM-TCN model in small-sample fault diagnosis. Extrica 2025-09-29T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25034 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1278-1295. 1392-8716 2538-8460 en Copyright © 2025 Shuangqiang Luo, et al.

oai:jvejournals.com:article/jve.25046 2025-11-15T13:35:13Z jve

Enhancing loess deformation resistance using waste tire rubber particles Li, Hai Jun Bai, Jian Guang Kou, Wen Qi Seismic engineering and applications Waste tire rubber particles, loess, deformation resistance, collapsibility, compressibility Loess, characterized by its large pore structure and vertical joints, is prone to collapsible deformation upon moisture infiltration and significant settlement under load, threatening the stability of buildings and infrastructure. This study systematically investigates the effects of rubber particle size (10, 20, 40, and 100 mesh), content (0 %, 5 %, 10 %, 15 %, and 20 % by volume), moisture content, and freeze-thaw cycles on the deformation properties of loess. This systematic investigation distinguishes itself by using waste tire rubber particles as the sole amendment to elucidate both the individual and coupled effects of these factors. Results demonstrate that incorporating rubber particles significantly reduces the compression coefficient of loess, with optimal compressibility achieved at a 5 % rubber particle content and 40 mesh particle size. The collapsibility coefficient is minimized at a 20 mesh particle size with the same 5 % content. Moisture content significantly influences deformation behavior, with both high and low levels increasing the compression and collapsibility coefficients. The study also reveals that rubber particle-loess mixtures exhibit superior freeze-thaw resistance, with smaller increases in deformation coefficients after multiple freeze-thaw cycles compared to remolded loess. The particle size and content of rubber particles are identified as the most important factors influencing the compressibility and collapsibility of loess. This research provides specific guidelines for optimizing rubber particle size and content, controlling moisture levels, and evaluating freeze-thaw impacts to enhance the engineering performance of loess. The findings offer a scientific basis for sustainable waste tire management and advance the application of rubber particles in geotechnical engineering. Extrica 2025-09-29T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25046 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1313-1328. 1392-8716 2538-8460 en Copyright © 2025 Hai Jun Li, et al.

oai:jvejournals.com:article/jve.25002 2025-11-15T13:35:13Z jve

A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow Harrison, Harold Mamat, Mazlina Wong, Farah Yew, Hoe Tung Lim, Racheal Wan Zaki, Wan Mimi Diyana Mechanical vibrations and applications vibration, non-contact, vision, deep learning This paper introduces a proof-of-concept vision-based deep learning approach for vibration measurement, proposing a factorized (2+1)D Convolutional Neural Network (CNN) model to predict four vibration metrics: acceleration, velocity, displacement, and frequency, with a focus on rigid body motion. Unlike conventional neural network models that primarily focus on frequency prediction alone, this approach uniquely enables the simultaneous estimation of four critical vibration metrics, offering a comprehensive and cost-effective alternative to traditional contact-based sensors such as accelerometers. The framework relies on the visibility of a training fiducial marker, eliminates the need for calibration in controlled settings, enhancing scalability across specific environments. A curated dataset was generated using a controlled experimental setup comprising a single object in a lab-scale environment, augmented synthetically to enhance frequency diversity. An optical flow-based preprocessing algorithm synchronized motion features in recorded video inputs with measured vibration labels, improving measurement accuracy. The proposed model achieved an average Mean Absolute Percentage Error (MAPE) of 7.51 %, with acceleration predictions exhibiting the lowest error at 4.84 % and displacement the highest at 8.80 % across varying brightness levels and object-camera distances. Techniques such as Region of Interest (ROI) cropping and multi-section frame extraction were implemented to reduce computational complexity while further enhancing accuracy. These results highlight the framework’s potential for non-invasive vibration analysis, though its generalizability is limited by the single-object dataset. Future work will expand the dataset, integrate multi-sensor inputs, explore marker-less tracking methods, and enable real-time deployment for predictive maintenance and structural health monitoring. Extrica 2025-10-11T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25002 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1174-1193. 1392-8716 2538-8460 en Copyright © 2025 Harold Harrison, et al.

oai:jvejournals.com:article/jve.25205 2025-11-15T13:35:13Z jve

Finite element analysis and vibration simulation of electromagnetic imaging sensor housing based on ANSYS Zou, Xiaoxu Ma, Long Mechanical vibrations and applications coal-rock demarcation detection, electromagnetic imaging sensor, static analysis, modal analysis, random vibration, finite element analysis, Ansys workbench, stress-strain Mining sensors work in harsh environments and are subject to complex vibrations. Its internal structure is prone to strength failure or fatigue damage. This paper focuses on the structural design of the front discharge and receiver housing inside the electromagnetic imaging sensor for coal-rock demarcation detection. Static analysis, modal analysis, and random vibration simulation were performed using ANSYS Workbench software to verify its reliability and strength in mining. In the static analysis, the thickness of the designed housing is 2 mm. The maximum equivalent elastic strain after applying a pressure of 0.5 MPa to the housing is 0.133 %, much less than the criterion of material fracture strain. This proves that it has excellent strength properties and will not experience strength failure. Modal analysis shows that the first-order intrinsic frequency of the housing is 3298.7 Hz. It is much higher than the vibration frequency in the actual working environment, which can effectively avoid resonance and improve the reliability of the structure. Random vibration simulation results show that the housing's maximum equivalent force and displacement are within the safe range, and the impact on the structural performance is negligible. These results provide a theoretical basis for the optimal design of the sensor housing and its application in complex vibration environments. Extrica 2025-10-11T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25205 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1226-1239. 1392-8716 2538-8460 en Copyright © 2025 Xiaoxu Zou, et al.

oai:jvejournals.com:article/jve.25139 2025-11-15T13:35:13Z jve

Structure design and sensitivity analysis of flexible ultrasonic transducer array Du, Yongbin Zhao, Yuanhai Wang, Hengyu Sun, Kunwang Zhang, Yi Wang, Shunli Acoustics, noise control and engineering applications finite element analysis, multiphysics coupling, flexible ultrasonic transducer array, sensitivity analysis To investigate the influence of element parameters on the performance and acoustic field of flexible ultrasonic transducer arrays, this study employs finite element multiphysics simulation software to analyze various parameters of flexible ultrasonic transducers within a multiphysics coupled field. The analysis begins with simulating the width and thickness of piezoelectric materials in a single-element ultrasonic transducer structure. Simulation results indicate that the electromechanical coupling coefficient of the ultrasonic transducer exhibits a quasi-sinusoidal relationship with width. When the piezoelectric material width is 1.8 mm, the electromechanical coupling coefficient reaches its maximum at a thickness of 0.4 mm. Subsequently, simulations were conducted on various parameters of the flexible ultrasonic transducer array. Key investigations included the effects of piezoelectric unit count, inter-unit spacing, and frequency on the ultrasonic focusing performance of linear phased array transducers. Findings indicate that the focusing capability of flexible ultrasonic transducer arrays improves with reduced spacing and increased unit count. However, due to varying practical application requirements and manufacturing precision constraints, array parameters should be selected by comprehensively considering real-world factors. Overall, this study employs multiphysics coupling simulation to visually demonstrate how array element parameters influence the performance of flexible ultrasonic transducers. It provides valuable reference for advancing flexible ultrasonic technology from laboratory research toward commercial application. Extrica 2025-10-11T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25139 Journal of Vibroengineering, Vol. 27, Issue 7, 2025, p. 1385-1405. 1392-8716 2538-8460 en Copyright © 2025 Yongbin Du, et al.

oai:jvejournals.com:article/vp.25554 2025-12-22T12:43:12Z vp

Effect of vibration on the calculated resistance of sandy soils Kayumov, Abdubaki Khisomiddinov, Akhror Zafarov, Olmos Ruziyev, Islom Ergashev, Khusniddin Seismic engineering and applications buildings and structures, sandy soils, vibrational movements, soil structure, angle of internal friction, shear resistance, design resistance, coefficients, soils, saline soils, strength, deformation, physical-mechanical properties, coefficient of filtration, constructions, underground water, hard-to-dissolve salts, sulfate-chloride salinity, chloride-sulfate salinity, sulfate salinity, sodium salt In the territories of the Republic of Uzbekistan, where sandy soils are widespread, it is important to forecast and eliminate the consequences of possible accidents that may arise under the influence of oscillatory movements, taking into account engineering-geological and hydrogeological conditions, during the period of their use as a foundation for the construction of buildings and structures. Therefore, a number of scientists have studied and expressed their opinions on the change in resistance of sandy soils when exposed to vibration. One of the main objectives of the article was to determine the quantitative values of the design resistance R of sandy soils under the influence of vibration movements in natural conditions. To solve this problem, a DU-62 vibratory roller was used to vibrate sandy soils at a test site located in the Termez and Jarkurgan districts of the Surkhandarya region. Before and after the application of vibration using a vibratory roller, vibration behavior data were obtained using a UNI-T UT315A portable vibration meter and the measurement results were processed. As a result, it became clear that when designing buildings and structures in areas with widespread sandy soils, it is necessary to take into account that the calculated resistance of sand under the action of vibration forces decreases by 1.18 times compared to the absence of vibration movements. In this case, if the earthquake results in ground movement, then when designing buildings and structures, the calculated resistance of sandy soils should be increased by 1.18 times. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25554 Vibroengineering Procedia, Vol. 60, 2025, p. 68-74. 2345-0533 2538-8479 en Copyright © 2025 Abdubaki Kayumov, et al.

oai:jvejournals.com:article/vp.25753 2025-12-22T12:43:12Z vp

Experimental results of reducing harmful vibrodynamic effects caused by the interaction between rolling stock and track through the use of elastic under-sleeper pads in the rail joint zone Abdujabarov, Abduhamit Mekhmonov, Mashkhurbek Khamidov, Maqsudjon Tadjibaev, Sherzod Shayakhmetov, Saulet Vibration in transportation engineering technical maintenance, rail joint zone, rolling stock, railway, rail, sleeper (tie), elastic under-sleeper pad, ballast layer, vibration, settlement, residual deformation, oscillations In the current era of independent development and market relations, the importance of railways continues to grow steadily. This, in turn, places great responsibility on the system of measures aimed at ensuring railway reliability. However, despite the advantages and advancements of the railway industry, it still faces technical complexities that can lead to track deterioration. In heavily loaded and high-speed railway sections, the interaction between the rolling stock and the track causes various issues in the rail joint zones – such as the development of defects and irregularities, deterioration of track geometry, reduction of track stability, as well as problems related to noise and vibration that must be mitigated. To address these challenges, scientific studies and experimental investigations have been conducted on the installation of elastic under-sleeper pads in the rail joint zones. These studies aim to modify the vertical stiffness transferred from the wheelsets of the rolling stock to the track structure, reduce harmful vibrations and oscillations, and thereby ensure uniform stability along the entire track. The conducted research, testing, and their results are presented in this article. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25753 Vibroengineering Procedia, Vol. 60, 2025, p. 125-132. 2345-0533 2538-8479 en Copyright © 2025 Abduhamit Abdujabarov, et al.

oai:jvejournals.com:article/vp.25398 2025-12-22T12:43:12Z vp

Reinforcement of the embankment with reinforced concrete piles in the transition zone from the railway embankment to the bridge Abdujabarov, Abdukhamit Mekhmonov, Mashkhurbek Khamidov, Maqsudjon Mirkhanova, Mavjuda Yembergenov, Auyezmurat Vibration in transportation engineering the creation of the transition section, roadbed, bridge, embankment, soil, shore support of active ground pressure, reinforced concrete pile, dynamic rigidity The article presents the design of the transition section to be used in different conditions in the region of junction of roadbed and the bridge, establishment and reasons of vertical shifts under the action of vibro-dynamic forces which appear when trains are driven along transition section. Likewise, in the sections of the foundation of the roadbed and the bridge, the types and types of a variety of defects caused by this fact, such as when the pressure of the weight of constant and temporary forces dropped on the rolling stock passes the active pressure of the ground (Ea), which acts on the support of the bridge shore at the point of the passage, are provided. In order to minimize the active effort at the junction formed by soil, reinforce and make the junction location defect-free, reinforced concrete piles are driven into the embankment to act as bases of junction location between the roadbed of the railway and the bridge location and a formula of computing the spacing of the piles has been contributed taking into consideration outer influences. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25398 Vibroengineering Procedia, Vol. 60, 2025, p. 133-141. 2345-0533 2538-8479 en Copyright © 2025 Abdukhamit Abdujabarov, et al.

oai:jvejournals.com:article/vp.25647 2025-12-22T12:43:12Z vp

Improvement of the system for reporting the state of the electrified railway contact line Amirov, Sulton Norjigitov, Sayfiddin Karimov, Islom Abduazimova, Iroda Vibration in transportation engineering contact line, pantograph, wind influence, monitoring system, GSM communication, vibration sensor, railway safety Ensuring the stable and reliable operation of electrified railways requires continuous monitoring of the overhead contact line (CL), whose mechanical displacement under wind loads can lead to interruptions in power transmission, pantograph detachment, and safety hazards. Traditional inspection and monitoring systems are limited in responsiveness and cannot provide real-time information about the dynamic state of the CL. This study presents an improved contact line deviation reporting system based on distributed Signal Processing and Transmission Modules (SPTM) and Signal Reception Modules (SRM) connected through a GSM wireless communication network. Each vibration sensor installed on the catenary wire continuously measures the displacement amplitude, converts the analog signal into digital form, and transmits it to the dispatcher or driver in real time. The developed modules were implemented using microcontrollers with embedded wireless interfaces, allowing autonomous operation powered by solar-assisted batteries and ensuring electromagnetic protection under high-voltage (25 kV) conditions. Field experiments were carried out on an electrified railway test section near the Tashkent depot to evaluate the system’s performance in real environmental conditions – including wind speeds of 5-18 m/s, ambient temperatures from –10 °C to +38 °C, and during snow and rain. The results confirmed stable data transmission up to 1 km distance with signal delay below 0.8 s and detection accuracy above 95 %. The proposed system thus enables real-time monitoring, automatic warning, and high reliability of communication even under harsh weather conditions, significantly improving the safety and efficiency of train operation. The novelty of this work lies in the practical validation of a GSM-based monitoring network for contact line deviation detection that integrates autonomous power supply, environmental robustness, and real-field reliability testing – aspects that are rarely demonstrated in previous studies. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25647 Vibroengineering Procedia, Vol. 60, 2025, p. 172-179. 2345-0533 2538-8479 en Copyright © 2025 Sulton Amirov, et al.

oai:jvejournals.com:article/vp.25624 2025-12-22T12:43:12Z vp

Experimental and finite element analysis of the structural durability of special self-propelled rolling stock frames Raxmiddinov, Izzatillo Fayzibaev, Sherzod Abdulaziz, Yusufov Taiwen, You Kosimov, Khusan Abdullayev, Nusratillo Vibration in transportation engineering finite element method (FEM), cyclic loading, fatigue life, residual strength, ADM-1 railcar frame, GOST 31846–2012 The study presents an experimental-numerical assessment of the structural durability and residual life of the ADM-1 self-propelled railcar frame operating under cyclic and static loading conditions. A combined methodology integrating full-scale cyclic bench testing and finite element modeling (FEM) was developed to determine the frame’s stress–strain state and fatigue resistance. The experimental tests, performed at the accredited laboratory of “Quyuv Mexanika Zavodi” JSC using the ISRB-1000 hydraulic loading stand, simulated real operational loads up to 2×106 cycles, equivalent to approximately ten years of service. A detailed FEM model was created in SOLIDWORKS Simulation to replicate these loading conditions, analyze stress distribution, and validate experimental data. The numerical and experimental results showed strong correlation (r > 0.9) with a deviation below 8 %, confirming the accuracy of the proposed approach. The maximum equivalent (von Mises) stresses remained below 0.6σ0.2 for St3sp steel, indicating that the structure operated entirely within the elastic range and met the strength requirements of GOST 31846-2012. Fatigue life estimation using Miner’s cumulative damage rule yielded a damage factor of D= 0.72, corresponding to 8-12 years of effective service life, with a residual fatigue resource of approximately 35-40 %. The developed hybrid methodology provides a reliable framework for condition-based maintenance and life-extension of special self-propelled rolling stock. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25624 Vibroengineering Procedia, Vol. 60, 2025, p. 186-192. 2345-0533 2538-8479 en Copyright © 2025 Izzatillo Raxmiddinov, et al.

oai:jvejournals.com:article/vp.25668 2025-12-22T12:43:12Z vp

Modern strengthening techniques for enhancing the load-carrying capacity of in-service road bridges in Uzbekistan Khamdamov, Ulugbek Ishankhodjaev, Abdurakhman Vibration in transportation engineering bridge strengthening, load-carrying capacity, CFRP, external prestressing, dead-load reduction, structural health monitoring, Uzbekistan The sustained growth of traffic intensity and axle loads in Uzbekistan has accelerated the deterioration of in-service road bridges, making cost-effective strengthening a national priority. This paper presents a structured review and comparative assessment of strengthening approaches grouped into: (i) traditional cross-section enlargement and substructure rehabilitation, (ii) structural scheme optimization and dead-load reduction (including external prestressing and span continuity), and (iii) advanced solutions based on carbon-fiber-reinforced polymers (CFRP). A worked example for a typical reinforced-concrete girder span demonstrates the compensation of a deficient bending moment of ΔM= 70 kN·m and indicates an ~18-25 % increase in load-carrying capacity after strengthening. The paper further synthesizes implementation considerations for arid-continental climates, including surface preparation, adhesion control, protective coatings, and staged load testing. Drawing on regional practice, CFRP systems are highlighted as offering high strength-to-weight benefits, installation speed, and minimal traffic disruption; reported gains for flexural elements typically range from 25 % to 45 %, subject to detailing and quality assurance. The results support integrating CFRP-based measures and complementary dead-load optimization into bridge rehabilitation programs in Uzbekistan, with recommendations for monitoring intervals (6-12 months) and future durability studies on adhesives and UV/moisture protection. Overall, the study consolidates methods and provides quantitatively grounded guidance for extending service life under contemporary traffic demands. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25668 Vibroengineering Procedia, Vol. 60, 2025, p. 193-199. 2345-0533 2538-8479 en Copyright © 2025 Ulugbek Khamdamov, et al.

oai:jvejournals.com:article/vp.25606 2025-12-22T12:43:12Z vp

Analysis of the influence of vibration phenomena in pump systems on electrical energy consumption and operational efficiency Xaydarov, Xumoyun Ishnazarov, Oybek Nizamov, Jasurbek Flow induced structural vibrations centrifugal pumps, vibration analysis, energy consumption, pump efficiency, predictive maintenance Despite the long-standing recognition of vibration phenomena as a critical factor affecting both mechanical reliability and energy performance, yet their influence on electrical energy consumption remains insufficiently quantified. Excessive vibration, originating from rotor imbalance, shaft misalignment, bearing wear, and hydraulic instabilities, can result not only in accelerated component degradation but also in significant increases in energy demand and reductions in hydraulic efficiency. Understanding the quantitative relationship between vibration intensity and pump energy performance is therefore essential for both predictive maintenance strategies and energy efficiency improvements in pumping systems. This paper presents an experimental investigation of the effect of vibration on the electrical energy consumption and operational efficiency of centrifugal pumps. Five industrial pump types, with rated powers ranging from 15 to 75 kW and capacities from 100 to 320 m3/h, were tested under controlled conditions. Measurements were carried out using UT310A vibration testers, an ultrasonic flow meter, and a Fluke 1777 Power Quality Analyzer. Vibration signals, volumetric flow rates, pressure heads, and three-phase electrical parameters were simultaneously recorded under partial load, nominal load, and overload conditions. Hydraulic power and efficiency were then calculated, while statistical analyses-including correlation and regression models-were applied to determine the relationship between vibration intensity and electrical performance. The results revealed a strong positive correlation between increasing vibration levels and higher electrical energy demand. In particular, RMS vibration acceleration was found to be a reliable predictor of additional energy losses, while efficiency was observed to decrease as vibration intensity increased. These findings not only confirm the detrimental effect of mechanical instability on energy consumption but also provide a methodological framework for integrating vibration monitoring into energy management practices. By bridging the gap between mechanical diagnostics and energy performance analysis, the study contributes new insights that can support the development of predictive maintenance systems, improve pump reliability, and promote more sustainable operation of pumping stations. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25606 Vibroengineering Procedia, Vol. 60, 2025, p. 200-207. 2345-0533 2538-8479 en Copyright © 2025 Xumoyun Xaydarov, et al.

oai:jvejournals.com:article/vp.25225 2025-12-22T12:43:12Z vp

Magnetoelastic oscillation of current-carrying plates in an alternating magnetic field Indiaminov, Ravshan Djuraev, Adiljon Khakberdiyev, Sulton Nematov, Shukhrat Indiaminov, Muhammad Dynamics and oscillations in electrical and electronics engineering magnetoelastic oscillations, thin current-carrying plate, electromagnetic and mechanical fields, Lorentz force, the discrete-orthogonalization method Modern technological advancements, particularly in micro- and nanoelectronics, aerospace engineering, sensor systems, and robotics, necessitate a deeper understanding of how structural elements behave under various physical influences. One significant and relevant phenomenon is magnetoelastic interaction, which involves how the mechanical behavior of current-carrying elastic bodies is affected not only by external loads but also by internal electromagnetic processes. Current-carrying plates, commonly utilized in micro- and nanoelectronics, respond to external fields by altering their stress-strain states. To accurately model these processes, an integrated approach is required that considers mechanical, electromagnetic, and thermal effects caused by electrical currents. This paper focuses on the mathematical modeling and numerical study of transverse magnetoelastic oscillations in thin current-carrying plates subjected to an alternating magnetic field. The problem is formulated considering electromagnetic interactions, geometric nonlinearity, and external alternating currents. A comprehensive system of equations is developed that includes the equations of motion, Maxwell's equations, and the heat equation with Joule heating sources. For the numerical solution, the finite difference method using the Newmark scheme and discrete orthogonalization techniques are applied. Graphs illustrating stress and strain distributions are presented, and the effects of magnetic field frequency and external current on the system’s behavior are analyzed. This research is vital for designing reliable components in micro- and nano-electronics and aviation. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25225 Vibroengineering Procedia, Vol. 60, 2025, p. 237-243. 2345-0533 2538-8479 en Copyright © 2025 Ravshan Indiaminov, et al.

oai:jvejournals.com:article/vp.25762 2025-12-22T12:43:12Z vp

Analysis of the structural performance of reinforced concrete under fire loading Imamaliev, Dilshod Sazairov, Amirkhan Akbarli, Reyhan Materials and measurements in engineering high temperatures, concrete reinforcement, load-bearing capacity, coefficient of thermal expansion, temperature-dependent variations, resilient urban development, sustainable infrastructure, earthquake engineering, fire resistance, effects of climate change on structures This study examined the behavior of reinforced concrete structures when exposed to high temperatures resulting from fire. Deterioration in material strength due to fire exposure alters a reinforced concrete structure’s load-bearing capacity and overall behavior. Elevated temperatures negatively affect key material properties of reinforced concrete, including density, coefficient of thermal expansion, thermal conductivity, and elastic modulus. As a result, if a structure experiences fire either concurrently with or prior to an earthquake, these changes in material properties will significantly influence its dynamic performance. For the numerical simulation, the selected structure was designed with a formwork plan and load-bearing system in accordance with earthquake-resistant design principles. Based on this design, fixed and variable loads acting on the beams were assigned. By promoting resilient infrastructure capable of withstanding severe environmental conditions such as earthquakes and fires, this study contributes to the achievement of sustainable development goals. It underscores the necessity of integrating fire resistance into earthquake-resistant design to foster disaster-resilient urban development. The findings may encourage more flexible and sustainable construction practices aligned with SDGs 9 (Industry, Innovation and Infrastructure), 11 (Sustainable Cities and Communities), and 13 (Climate Action). Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25762 Vibroengineering Procedia, Vol. 60, 2025, p. 291-297. 2345-0533 2538-8479 en Copyright © 2025 Dilshod Imamaliev, et al.

oai:jvejournals.com:article/vp.25777 2025-12-22T12:43:12Z vp

Evaluation and modeling of airborne dust pollution in the Kamchik railway tunnel during train movements Abdazimov, Shavkat Kh. Abduvakhitov, Sherzod R. Abduvakhitov, Shakhboz R. Materials and measurements in engineering Kamchik Tunnel, dust pollution, PM10 concentration, PM2.5, train movement, ventilation, water-based dust suppression system, microclimate, air hygiene standards This paper presents the results of a study on airborne dust pollution in the Kamchik Railway Tunnel caused by train movements. Field measurements were carried out to determine the concentrations of suspended particulate matter (PM10, PM2.5, PM1), as well as air temperature, pressure, and humidity in different sections of the tunnel – near the portals and in its central part. It was established that during train passages, the level of dust concentration increases by 6-10 times compared to background values, exceeding sanitary and hygienic standards. The main sources of dust generation were identified as frictional interactions between wheels and rails, braking processes, and the transportation of bulk materials. To reduce dust concentrations, engineering solutions are proposed, including the implementation of automatic water-based dust suppression systems, enhanced tunnel ventilation, and the use of hydrophobic surface coatings. The obtained results can be used to optimize ventilation modes and improve the operational safety of the Kamchik Railway Tunnel. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25777 Vibroengineering Procedia, Vol. 60, 2025, p. 298-304. 2345-0533 2538-8479 en Copyright © 2025 Shavkat Kh. Abdazimov, et al.

oai:jvejournals.com:article/vp.25578 2025-12-22T12:43:12Z vp

Vibration-resistant mixed binders using man-made burnt rocks for transport infrastructure Bolotov, Taalaibek T. Abdykalykov, Akymbek A. Kurbanbaev, Alaybek B. Omurbekov, Islan K. Hudaykulov, Rashidbek Salimova, Barno Aralov, Dilshod Materials and measurements in engineering vibration damping, mixed binders, burnt rocks, transport infrastructure, dynamic stiffness, road foundation, sustainable materials This study presents the characteristics of man-made wastes, specifically burnt rocks formed by the self-combustion of coal-bearing waste dumps, whose chemical and mineralogical composition depends on the origin of the basin. The aim of this research is to assess the feasibility of using these burnt rocks as components of mixed mineral binders and to evaluate their influence on mechanical and dynamic performance parameters. A comprehensive analysis of their physical, chemical, and structural properties was carried out, demonstrating their compatibility with conventional binder materials. The novelty of this study lies in the first systematic use of locally available burnt rocks (glyage) in vibration-resistant binder compositions for transport infrastructure, expanding the raw material base of construction materials while reducing environmental impact. The developed binders achieved compressive strengths up to 17.6 MPa, sufficient for structural layers of pavement bases and subgrade stabilization. Moreover, these mixed binders can modify the dynamic stiffness and damping behavior of pavement structures under moving vehicle loads, establishing a scientific link between binder composition and vibration control in transport engineering. These results are directly relevant to vibration engineering, as the dynamic stiffness and damping behavior of the developed binders influence vibration propagation and attenuation in transport pavements, ensuring longer service life and reduced noise and deformation under dynamic traffic loads. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25578 Vibroengineering Procedia, Vol. 60, 2025, p. 325-331. 2345-0533 2538-8479 en Copyright © 2025 Taalaibek T. Bolotov, et al.

oai:jvejournals.com:article/vp.25412 2025-12-22T12:43:12Z vp

Fatigue performance analysis and reinforcement measures for foundation connection components of wind turbine towers Xie, Yiming Dong, Yinfeng Wang, Yiping Wang, Yilin Liu, Feipeng Li, Hongxing Materials and measurements in engineering tower foundation connection piece, wind turbine tower cylinder, steel-reinforced concrete, finite element analysis, numerical simulation, fatigue analysis In recent years, frequent tower collapses have been mostly related to fatigue damage. Therefore, this paper systematically studies the fatigue resistance performance and reinforcement methods of tower foundation connection components through on-site tests and finite element analysis. The test analyzed the lifespan, stress-strain characteristics, crack development and mechanical properties of the connection components under fatigue loads; numerical simulation compared the fatigue life and safety of ordinary components, reinforced with steel mesh, C100 high-strength concrete components, and C40 and C100 composite components, etc., providing key basis for engineering reinforcement. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25412 Vibroengineering Procedia, Vol. 60, 2025, p. 332-338. 2345-0533 2538-8479 en Copyright © 2025 Yiming Xie, et al.

oai:jvejournals.com:article/vp.25435 2025-12-22T12:43:12Z vp

Enhancing the strength of steel grade 45 guide rails for ball rolling using the chemical-thermal carbonitriding method Ubaydullaev, Muzaffar Ruklinskaya, Elena Kosimov, Umidbek Khalikulov, Utkir Materials and measurements in engineering carbonitration, ball rolling mill, guider ruler, chemical and thermal strengthening, hardness, wear resistance, salt melt The enhancement of guide rail strength for ball rolling applications is crucial to improving the durability and operational efficiency of the manufacturing process. One effective method for achieving this is carbonitriding, a chemical-thermal treatment that forms a hardened surface layer by saturating the material with both carbon and nitrogen at relatively low temperatures. This study was aimed at improving the mechanical properties of the guide bar used to hold balls on the rolling axis in ball rolling mills by chemical-thermal strengthening-carbonitration. Specimens of mild and medium carbon steel were used as tests. The process consisted in immersing the specimens in a bath with molten salts at a temperature of 570 °C and holding for 1.5 hours. The samples were then cooled in oil and then cleaned with high-pressure water. The study showed that the melt of salts based on urea and potassium carbonate saturates the steel surface with nitrogen and carbon, forming a hardened layer. The depth of the hardened layer depends on the exposure time, but after one hour, the penetration of diffusing substances slows down. This is due to the saturation of the steel crystal lattice with alloying elements (carbon and nitrogen) during carbonitration. The maximum hardening depth for high-alloy tool steels is 0.05-0.12 mm, for carbon steels 0.1-0.6 mm. Carbonitration can be used to increase the hardness, strength, wear resistance of balls without increasing the brittleness of the part. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25435 Vibroengineering Procedia, Vol. 60, 2025, p. 359-363. 2345-0533 2538-8479 en Copyright © 2025 Muzaffar Ubaydullaev, et al.

oai:jvejournals.com:article/vp.25530 2025-12-22T12:43:12Z vp

Study on the interaction state between polymer modifiers and asphalt based on precise grinding Yixin, Pan Materials and measurements in engineering binder, resin, modifier, interaction To clarify the impact of resin modifier fineness on the performance and interaction of modified asphalt, this study selects resin modifiers to prepare modified asphalts. The effects of the fineness parameters of resin modifiers on the road performance of modified asphalts are investigated. The segregation tests and Han curves are employed to analyze the influence of modifier on the compatibility of modified asphalt. The scanning electron microscopy is utilized to characterize the interaction between resin modifiers and asphalt. The results indicate that resin modifiers improve the high-temperature performance and deformation resistance of asphalt binder but lead to the adverse effect on low-temperature performance. Adjusting the particle size of the modifier could improve the modification effect of resin modifiers on asphalt binder. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25530 Vibroengineering Procedia, Vol. 60, 2025, p. 364-369. 2345-0533 2538-8479 en Copyright © 2025 Pan Yixin.

oai:jvejournals.com:article/vp.25655 2025-12-22T12:43:12Z vp

Vibration damping and interfacial adhesion behavior of steel-UHMWPE composite structures Baymirzaev, Akbarjon Madaminov, Nodirbek Vohidova, Durdona Materials and measurements in engineering steel-polymer composites, UHMWPE, vibration damping, adhesion strength, modal analysis, hybrid materials Hybrid structures combining steel and polymer layers are widely used in engineering systems where vibration reduction and mechanical durability are required. In this study, a composite structure consisting of a low-carbon steel substrate and an ultrahigh molecular weight polyethylene (UHMWPE) coating was investigated in terms of vibration damping capacity, adhesion strength, and thermal behavior. The UHMWPE coating was applied to the steel surface through a thermal pressing technique under optimized temperature and pressure conditions. The vibration damping performance was analyzed using a modal analysis method and accelerometer-based measurements within the frequency range of 100-1000 Hz. Interfacial adhesion was evaluated via shear and peel tests according to ASTM D1002 standards. Results show that the steel-UHMWPE composite exhibits up to 35-40 % improvement in damping ratio compared to bare steel specimens. The optimal adhesion strength was achieved at a processing temperature of 190 ℃, where the interfacial energy balance between the polymer and steel substrate minimizes delamination. Thermal stability analysis using DSC and TGA confirmed the material’s operational range up to 120 ℃, making it suitable for automotive and mechanical vibration isolation applications. These findings demonstrate that the combination of steel’s stiffness and UHMWPE’s viscoelastic damping behavior offers a promising approach to lightweight vibration control components. Further optimization of interface modification and filler reinforcement is planned to enhance tribological and thermal resistance properties. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25655 Vibroengineering Procedia, Vol. 60, 2025, p. 431-435. 2345-0533 2538-8479 en Copyright © 2025 Akbarjon Baymirzaev, et al.

oai:jvejournals.com:article/vp.25633 2025-12-22T12:43:12Z vp

The properties of self-compacting fine-grained concrete mixtures for energy-efficient vibration-free construction technologies Adilkhodzhaev, Anvar Khasanov, Bakhriddin Kadyrov, Ilkhom Radjabov, Mirzokhid Umarov, Isomiddin Tosheva, Dilbar Materials and measurements in engineering self-compacting concrete, fine-grained concrete, energy-efficient construction, vibration-free technologies, rheological properties, physical and mechanical properties, porosity, complex modifiers The article presents the results of the development and research of self-compacting fine-grained concrete mixes for energy-efficient vibration-free construction technologies. The main focus is on selecting optimal compositions that ensure the required level of mobility and self-compaction through a rational ratio of components and the use of complex modifying additives. The results of research into the rheological characteristics of concrete mixtures, as well as the physical and mechanical parameters of the materials obtained, are presented. The patterns of the influence of the composition and structure of concrete on its density, strength, water absorption and deformability have been established. The results obtained confirm the possibility of creating effective self-compacting fine-grained concretes with high structural homogeneity and reduced energy consumption during production and laying. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25633 Vibroengineering Procedia, Vol. 60, 2025, p. 436-443. 2345-0533 2538-8479 en Copyright © 2025 Anvar Adilkhodzhaev, et al.

oai:jvejournals.com:article/vp.25420 2025-12-22T12:43:12Z vp

Stress-strain state of a welded high-strength steel pipeline in the presence of surface defects Dziubyk, Andrii Dzhus, Andriy Dziubyk, Liudmyla Kapushchak, Yaroslav Porokhovskyi, Yurii Korendiy, Vitaliy Mathematical models in engineering main pipeline, high-strength steel, weld stresses, welded joints, pipes, surface defects, static strength, welded joints of pipelines, two-parameter criterion The construction of main pipelines is now predominantly carried out using high-strength steels. This makes it possible to increase pipeline capacity while maintaining the existing pipe geometry. However, the issue of ensuring the strength of such pipelines in the presence of surface defects is still relevant. This is especially true for pipeline segments that are located in hard-to-reach places, and therefore, it is difficult to repair and restore. At the same time, the introduction of high-strength steels involves a complex system of material alloying and special thermo-mechanical strengthening technologies. As a result, special structures of increased strength can be produced, but they are sensitive to reheating, in particular when welding technologies are used. This is due to the formation of a special zone of thermal deformation influence in the vicinity of the weld. Material properties of the pipes differ from their original characteristics. The stress-strain state is formed, which also affects the strength of the welded pipeline. The nature of the stress-strain state of welded joints of pipes made of high-strength materials differs from the well-studied stress distributions in pipelines built in the past sixty-eighty years of the past century. In particular, several localized maxima of stresses can be located not only on the weld axis but also in the zone of thermal deformation influence. Therefore, it is important to evaluate the effect of weld stresses in welded joints of high-strength steel pipes on the strength of the pipeline in the presence of surface defects. Since the defect may be located at an arbitrary distance from the weld axis, the predicted strength of the welded pipeline segment can vary significantly. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25420 Vibroengineering Procedia, Vol. 60, 2025, p. 615-625. 2345-0533 2538-8479 en Copyright © 2025 Andrii Dziubyk, et al.

oai:jvejournals.com:article/vp.25421 2025-12-22T12:43:12Z vp

The technology of non-stop passage of high-speed passenger and freight trains on double-track sections and its impact on operational performance Bozorov, Ramazon S. Kibishov, Adylkhan T. Mathematical models in engineering high-speed trains, section speed, operational efficiency, freight transport, regression analysis, schedule optimization Currently, a mixed system of high-speed passenger and freight trains has been implemented on the railways of Uzbekistan. During the movement of high-speed passenger trains on double-track main line sections, the movement of freight trains at all stations and segments is temporarily suspended for a specific period. From this perspective, in the present time, the suspension of freight train traffic is leading to numerous technical and economic expenses. In this article, based on experimental runs using the technology of passing freight trains without stopping, train movement schedules have been drawn up, and train operations have been organized without unnecessary stops. This research paper provides a restructured overview of the introduction and practical implementation of non-stop train operation technology for double-track railway lines where both high-speed passenger and freight trains operate simultaneously. Using real operational schedules, comparative experimental charts were developed to evaluate the new approach. The outcomes of this analysis demonstrate how the proposed technology influences efficiency and key performance indicators of train movements. A regression-based analytical model was also constructed to determine the relation between freight train waiting time and average section speed, ensuring reliability through statistical verification. Furthermore, the application of innovative solutions and technologies mentioned in this article to sections of high-speed highways creates an opportunity to increase transport transit potential and improve economic indicators. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25421 Vibroengineering Procedia, Vol. 60, 2025, p. 650-656. 2345-0533 2538-8479 en Copyright © 2025 Ramazon S. Bozorov, et al.

oai:jvejournals.com:article/vp.25465 2025-12-22T12:43:12Z vp

Numerical simulation of a gas-flotation oil–water hydrocyclone separator Cui, Haonan Huang, Yongdong Yao, Zhaoqi Yan, Weiguo Zhou, Xiaojun Mathematical models in engineering hydrocyclone, oil-water separation, gas flotation, bubble size, numerical simulation Efficient oil–water separation of produced fluids from high water-cut oilfields requires significant improvement in hydrocyclone separation performance. In this work, computational fluid dynamics simulations were applied to analyze the influence of integrating gas flotation with hydrocyclone separation. To describe the internal flow behavior and the distribution of oil droplets in gas-assisted operation, the Mixture multiphase model together with the Realizable k-ε turbulence model was utilized. Based on a conventional liquid-liquid hydrocyclone, a porous medium region was incorporated into the large cone section to represent microporous walls for microbubble injection, thereby achieving the coupling of flotation and hydrocyclone separation. The results show that gas injection enhanced the separation efficiency from 83.56 % to 95.96 %. Moreover, microbubble size exhibited a pronounced influence on separation performance: smaller bubbles facilitated better oil-water separation. The optimal performance was obtained with an air bubble diameter of 5 μm, where the separation efficiency reached 97.73 %. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25465 Vibroengineering Procedia, Vol. 60, 2025, p. 657-663. 2345-0533 2538-8479 en Copyright © 2025 Haonan Cui, et al.

oai:jvejournals.com:article/vp.25511 2025-12-22T12:43:12Z vp

Numerical modeling of reinforced concrete structures made of lightweight concrete using ANSYS Fozilov, Odiljon Martazaev, Abdurasul Razzakov, Sobirjon Mavlonov, Ravshanbek Maksud ugli, Bakhtiyor Mathematical models in engineering lightweight concrete, reinforced beams, ANSYS modeling, load-deflection, stiffness, deformation, finite element analysis, structural optimization In this paper, extensive numerical investigations into reinforced concrete beam made of lightweight concrete are given, through the ANSYS finite element program. The main aim was to assess the load carrying capacity, stiffness and deformation characteristics of the beams of different concrete densities. There were seven beam specimens, which vary in the percentage ratio of lightweight to normal aggregates, and the material properties were duly incorporated in the model. Three-dimensional nonlinear finite element analysis was used to simulate the beams with a mesh size of 25 mm, and the results were compared with the experimental results. Results showed that when the concrete density was reduced the loadbearing capacity decreased gradually, as the concrete became normal weight (95 kN) and then fully lightweight (85.7 kN). Nevertheless, the plastic zone transition happened later in lightweight beams and this implies that the deformation resistance was more difficult than in normal-weight concrete. The load-deflection curve demonstrated the fact that lightweight concrete beams though less stiff in nature, are structurally reliable and competitive. This study highlights the possibility of the lightweight concrete to be used as a structural material in contemporary engineering practice and therefore seismic zones where minimized self-weight improves the overall safety and efficiency. The results are useful in understanding how to optimize and design the reinforced lightweight concrete members. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25511 Vibroengineering Procedia, Vol. 60, 2025, p. 683-689. 2345-0533 2538-8479 en Copyright © 2025 Odiljon Fozilov, et al.

oai:jvejournals.com:article/vp.25710 2025-12-22T12:43:12Z vp

Enhancing the Carrying capacity of complex mountain railway sections through the optimization of train mass standards Khusenov, Utkir Masharipov, Ma’sud Bozorov, Ramazon Umirzakov, Davlatjon Mathematical models in engineering railway section, throughput capacity, carrying capacity, train mass standard, traction calculations, objective function, automatic blocking system, semi-automatic blocking system It is known that the current train mass standards for railway sections often do not allow locomotives to fully utilize their tractive power. This limits the throughput and Carrying capacity of the railway sections. This article examines the issues of increasing the carrying capacity of freight trains by optimizing train mass standards, using the “Angren-Pop” railway section, which has the most complex profile in “Uzbekistan Railways” JSC, as an example. Updated optimal train mass standards have been proposed for freight trains operating on the “Angren-Pop” railway section, and experimental tests have been carried out based on these standards, followed by their implementation in practice. Based on traction calculations, the interstation travel times of trains for the updated mass standards have been determined. Methods for effectively increasing the transport capacity of the section have been recommended by implementing measures such as increasing the train mass standards and interstation running speeds of freight trains, as well as systematically organizing the use of electric locomotives with high tractive power. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25710 Vibroengineering Procedia, Vol. 60, 2025, p. 738-747. 2345-0533 2538-8479 en Copyright © 2025 Utkir Khusenov, et al.

oai:jvejournals.com:article/vp.25574 2025-12-22T12:43:12Z vp

Digital solutions for the transition to a sustainable public transport system in Tashkent Abduvakhitov, Shakhboz R. Mathematical models in engineering railway transport, urbanization, automobilization, transport policy, integration, smart mobility The purpose of this study is to analyze the prospects for transitioning the city from automobile-dominated mobility to a public transport-oriented system. The methodological framework is based on the analysis of transport infrastructure. The research is conducted on the example of Tashkent – the capital of Uzbekistan – characterized by a high level of motorization and significant commuter migration. The study concludes that a successful transition to public transport requires a phased implementation, involving infrastructure modernization, digitalization, regulation of motorization, and transformation of citizens’ mobility behavior. The novelty of this study lies in developing a digital transition model for Tashkent that integrates international best practices (Berlin, London, Singapore) with the local transport and socio-economic conditions. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25574 Vibroengineering Procedia, Vol. 60, 2025, p. 766-771. 2345-0533 2538-8479 en Copyright © 2025 Shakhboz R. Abduvakhitov.

oai:jvejournals.com:article/vp.25231 2025-12-22T12:43:12Z vp

Nonlinear models of viscoelastic plates and shells Indiaminov, Ravshan Narkulov, Akram Khakberdiyev, Sulton Butayev, Ruslan Kholjigitov, Sobir Nematov, Shukhrat Mathematical models in engineering physically nonlinear viscoelasticity, integro-differential equations, nonlinear viscoelastic models, viscoelastic plates and shells, viscoelastic materials The dynamics of nonlinear viscoelastic plates and shells is a crucial area of study in modern mechanics, materials science, and engineering. This importance stems from the increasing demand for accurate modeling and analysis of structures subjected to complex loads, as well as the advancement of new materials and technologies. Modern materials, including carbon composites, polymers, and multilayer coatings, possess complex viscoelastic properties. Under dynamic loads, such as vibrations or impacts, viscoelastic materials exhibit time-dependent responses to these loads, necessitating careful consideration of their relaxation and creep characteristics. The unique viscoelastic properties allow these materials to adapt to applied loads, making them highly desirable for the design of sophisticated devices, such as sensors, membranes, and adaptive structures. Furthermore, interactions with external fields – such as electromagnetic or thermal forces – enhance the effects of nonlinearities and require the development of new modeling approaches. The paper presents the equations of dynamics of geometrically and physically nonlinear thin-walled elements. An operator approach based on Rabotnov’s hereditary kernels is proposed, which makes it possible to correctly account for relaxation processes. The novelty of the work lies in the consideration of the combined effect of geometric and physical nonlinearities. To demonstrate the applicability of the model, a numerical example of the deflection of a rectangular plate under uniform loading is examined. Graphs of the deflection evolution and the influence of thickness and relaxation parameters are presented. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25231 Vibroengineering Procedia, Vol. 60, 2025, p. 748-757. 2345-0533 2538-8479 en Copyright © 2025 Ravshan Indiaminov, et al.

oai:jvejournals.com:article/vp.25276 2025-12-22T12:43:12Z vp

Investigation of transient processes in auxiliary asynchronous electric motors of locomotives using differential equations Kasimov, Obidjon Ergashev, Otabek Mathematical models in engineering locomotive, asynchronous motor, differential equation, rotor, stator, magnetic field, inductance, voltage, electric locomotive, active resistance, magnetic flux linkage The aim of this research is to scientifically substantiate the operating conditions of small and medium-power auxiliary asynchronous electric motors currently in use on mainline electric locomotives of the VL60, VL80, and Ermak 3ES5K types. The goal is to draw conclusions based on scientific research, such as evaluating the operational efficiency of auxiliary asynchronous electric motors and creating the possibility to predict their service life based on the assessment results. This, in turn, will enable timely maintenance of auxiliary engines in locomotives. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25276 Vibroengineering Procedia, Vol. 60, 2025, p. 758-765. 2345-0533 2538-8479 en Copyright © 2025 Obidjon Kasimov, et al.

oai:jvejournals.com:article/vp.25484 2025-12-22T12:43:12Z vp

Kinematic synthesis of a cam-follower mechanism of a novel internal combustion engine Tokai, Viktor Burkot, Artemii Korendiy, Vitaliy Pasika, Viacheslav Kychma, Andrii Mathematical models in engineering disk groove cam, periodic motion law, quasi-constant velocity, zero-acceleration boundary conditions, pressure angle, slider mechanism, optimization-based profile design This paper presents a kinematic synthesis of a groove-type disk cam that directly drives sliders in a novel internal-combustion engine architecture. The synthesis is formulated in an invariant (normalized) space and enforces zero acceleration at phase boundaries while embedding a quasi-constant-velocity segment in the mid-portion of the compression (retraction) phase. An arbitrary shaping function is introduced to generate a family of admissible motion laws; a constrained optimization (series truncated to four terms) minimizes the peak acceleration under a prescribed bound on velocity, yielding a PLM with a quasi-constant-velocity interval of approximately 39 % of the kinematic cycle (±5 %). The synthesized retraction law is paired with a sinusoidal approach (power) law to ensure zero endpoint accelerations for both phases. Cam profiles for the working and return strokes are constructed; maximum pressure angles remain within admissible limits across examined phase splits, including an experimental 65°/25° case. Compared with the sinusoidal baseline, the synthesized law retains a similar acceleration constant but reduces the velocity constant by approximately 31 %, indicating lower inertial loading and milder end-conditions that are favorable for mixture preparation and bearing lubrication. The results provide a compact, implementable route to motion programming for cam-driven reciprocators in internal-combustion engines and establish feasibility for multi-cylinder layouts. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25484 Vibroengineering Procedia, Vol. 60, 2025, p. 772-780. 2345-0533 2538-8479 en Copyright © 2025 Viktor Tokai, et al.

oai:jvejournals.com:article/vp.25352 2025-12-22T12:43:12Z vp

Assessment of the influence of external dynamic factors on force loading of anchor bandage of traction electric motors Ablyalimov, Oleg Julenev, Nikolay Saghir, Mohamad Ziad Mathematical models in engineering diesel locomotive, traction electric motor, anchor, bandage, dynamic force factor, traction-energy characteristics A methodology has been proposed for calculating the force loading of anchor bandages of locomotive traction electric motors from the action of external dynamic factors, which makes it possible to determine dynamic stresses in each section of the anchor bandage along its entire length, depending on the operating modes of the traction electric motor, taking into account its design features and real operating conditions. It has been established that the most significant influence on the fluctuations of the armature shaft of traction electric motors of diesel locomotives is exerted by dynamic influences from the collision of wheels with joints and unevenness of the rail track, as well as from errors in the manufacture of the serrated broadcast (gears). The supposed economic effect from the creation of new glass bandage designs for the anchors of traction electric motors of diesel locomotives of the 2TE10M series is estimated at approximately 10.92 million soums for one such diesel locomotive. It is recommended to continue these studies in order to develop and justify rational geometric parameters of a new design of the anchor glass bandages of a traction electric motor with increased fatigue strength. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25352 Vibroengineering Procedia, Vol. 60, 2025, p. 781-787. 2345-0533 2538-8479 en Copyright © 2025 Oleg Ablyalimov, et al.

oai:jvejournals.com:article/vp.25362 2025-12-22T12:43:12Z vp

Theoretical assessment of the mechanical properties of fiber concrete using the dispersion analysis method Martazaev, Abdurasul Razzakov, Sobirjon Mavlonov, Ravshanbek Fozilov, Odiljon Maksud ugli, Bakhtiyor Mathematical models in engineering fiber-reinforced concrete, basalt fibers, polypropylene fibers, steel fibers, compressive strength, polynomial regression, analysis of variance, fiber volume fraction This paper examines how the type of fiber and the amount of fiber in concrete impacts the mechanical characteristics of fiber-reinforced concrete (FRC) by both experimental testing and statistical modelling. Basalt, polypropylene, and steel fiber reinforced concrete specimen were cast at different percent ratios (0, 0.1, 0.2 and 0.3) and subjected to laboratory conditions to measure compressive strength. At every dose and fiber type, three specimens were tested, and average values of the strengths were computed. OriginPro was used to fit the data in polynomial regression models (second degree) to quantify the connections between the parameters of this fiber and compressive strength. The most important statistical indicators provided in the assessment of the model accuracy were coefficients of determination (R2), adjusted R2, F-statistics, p-values, and residual analysis. The results revealed that the models were all characterized by high predictive accuracies (R2= 0.72, 0.93) and found to be significant using ANOVA (p< 0.0001). Results validated that the type of fiber along with the dosage were critical in the effectiveness of strength with optimal amount enhancing performance and loads beyond or below those levels decreasing the matrix bonding. The produced models offer a predictive predicting model that would be helpful in FRC mixture optimization. The study presents significant information in the field of structural engineering where a newly established structure will be needed to have superior durability, dependability, and load capacity. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25362 Vibroengineering Procedia, Vol. 60, 2025, p. 788-794. 2345-0533 2538-8479 en Copyright © 2025 Abdurasul Martazaev, et al.

oai:jvejournals.com:article/vp.25351 2025-12-22T12:43:12Z vp

Modeling of the transportation process on the Kokand-Andijan section of the Kokand regional railway track junction of the Uzbek railway Ablyalimov, Oleg Lesov, Altynbek Saghir, Mohamad Ziad Mathematical models in engineering electric locomotive, speed, time, energy efficiency, railway track, parameter, driving mode, plain, traction calculation, cargo train The article presents original research results on the substantiation of the forward motion parameters of a freight train with a fixed maximum mass of the train and the main traction and operational characteristics of the energy efficiency of O’z-EL type AC freight electric locomotives on a real flat section of the railway. Energy-optimal control modes for the movement of the aforementioned freight train by electric locomotives of the O’z-EL series have been developed using the original computer hardware and software complex KORTES, and their traction and energy characteristics are presented in the form of numerical values and graphs with an error of no more than five percent compared to the practical data of the Kokand locomotive depot of the Uzbek Railway. The above results will be further used by the authors to evaluate the effectiveness of various options for energy-optimal control modes for the power equipment of the Oʼz-EL series electric locomotives when implementing freight transportation on sections of the Uzbekistan railway industry of varying complexity under real operating conditions. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25351 Vibroengineering Procedia, Vol. 60, 2025, p. 795-802. 2345-0533 2538-8479 en Copyright © 2025 Oleg Ablyalimov, et al.

oai:jvejournals.com:article/vp.25285 2025-12-22T12:43:12Z vp

Graphical analytical modeling of the kinematic scheme of a rock-piston pump Alimov, Bakhtiyar Sindarov, Rakhmat Mathematical models in engineering calculation, gearshift, mechanism, speed, crank, connecting rod, piston Two kinematic diagrams are presented, consisting of two combined toggle mechanisms and a piston pump. Kinematic calculations of the moving link parameters for both kinematic diagrams resulted in the determination of the displacement of the working and idle stroke lengths S of the piston as a function of the toggle mechanism swing angle φ and the change in the toggle length and crank radius of the piston pump. The numerical value of the coefficient K of the average toggle mechanism slider velocity, K= 2, and the displacement of the piston stroke S were obtained: for a toggle-piston pump, S= 1.25, and for a crank-toggle mechanism, SK= 0.7 m. Various asymmetric phase angles were calculated for the working φp and idle φx strokes of the slider during rotation of the toggle mechanism crank for both kinematic diagrams. The relationship between the center distance α and the position of the fixed support point O1 of the crank axis of rotation to the support point O2 of the rocker arm is obtained. The numerical values of the stroke displacement SD, linear velocity VD, and acceleration αD of the pump piston for both kinematic diagrams of the rocker-piston pump mechanism are presented in tabular form by numerical values and in kinematic diagrams. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25285 Vibroengineering Procedia, Vol. 60, 2025, p. 803-809. 2345-0533 2538-8479 en Copyright © 2025 Bakhtiyar Alimov, et al.

oai:jvejournals.com:article/vp.25767 2025-12-22T12:43:12Z vp

Design of a multifunctional UAV based on composite materials: integration of vacuum infusion, CFD analysis, and intelligent energy management Jonibek, Takhirov Khamida, Khusnutdinova Nuriddin, Abdujabarov System dynamics in manufacturing system modeling CAD, CFD, FEM, STM32 microcontroller, energy management, sensor control, real-time processing, embedded system, ANSYS simulation, structural and aerodynamic analysis, CFRP composite This study proposes an integrated design approach for a multifunctional UAV using composite materials, combining vacuum infusion, CFD-based aerodynamic analysis, and an STM32-based energy management system. CFD results showed a lift coefficient CL= 0.812, drag coefficient CD= 0.055, and L/D= 14.7, representing a 28 % improvement over aluminum structures. FEM analysis indicated a maximum stress of 312.4 MPa with a safety factor of 1.12, while vacuum infusion achieved 98.7 % resin impregnation, enhancing stiffness by 28 % and reducing weight by 25 %. The automated energy management system increased energy efficiency by 16.3 %, extending flight duration and improving operational stability. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25767 Vibroengineering Procedia, Vol. 60, 2025, p. 810-817. 2345-0533 2538-8479 en Copyright © 2025 Takhirov Jonibek, et al.

oai:jvejournals.com:article/vp.25510 2025-12-22T12:43:12Z vp

Innovative design of a gear belt transmission for technological machines Makhmudova, Shakhnoza Yunusov, Salokhiddin Sirojiddin, Kenjayev Murat, Turakulov System dynamics in manufacturing system modeling belt drives, design scheme, engagement angle, friction coefficient, shaft load, torque The article presents the types of belt transmission designs, as well as the advantages of their use in mechanical engineering. Belt drives create loads as a result of excessive vibrations due to a flexible element (belt). A new design of an innovative toothed belt drive is proposed, which contains two paired driving and driven gear pulleys with different diameters and two belts with teeth covering them, while the gear ratios of each pair of gears are equal to each other. The simulation demonstrates a 25-38 % reduction in velocity fluctuation compared to conventional drives, confirming the effectiveness of the proposed design. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25510 Vibroengineering Procedia, Vol. 60, 2025, p. 818-824. 2345-0533 2538-8479 en Copyright © 2025 Shakhnoza Makhmudova, et al.

oai:jvejournals.com:article/vp.25311 2025-12-22T12:43:12Z vp

An analysis of the ultrasonic technology to stitch materials, and conceptualization and realization of a new sewing machine Palvannazirova, Nasiba Butovskiy, Petr Allamov, M. M. Xudoynazarov, Otabek System dynamics in manufacturing system modeling ultrasonic stitching, welding textiles, thermal modelling, non-conventional welding, polymer composites, seam strength Ultrasonic stitching is a thread-free and green technology for stitching fabrics, which uses the vibration energy of high frequency to transform it into heat at the joint to achieve local fusion. This paper provides the conceptual design and experimental validation of a roller-based ultrasonic sewing system for thermoplastic and composite textile. This work introduces a portable roller-type ultrasonic actuator coupled with a physics-based thermal model which allows the controlled and threadless joining of textiles, which is the main innovation of this paper. When operated at 27 kHz, 100 W and contact pressure of 5 MPa, the method gives maximum lap shear strengths of 86 N for polyester and 67 N for cotton + LDPE. The measured results define the process window and show the possibility of low-waste industrial utilization. Novelty: (I) a small size ultrasonic stitching unit based on the roller technology; (II) a closed-form thermal model for the relationship between energy input and joint strength; (III) validated process parameters towards a sustainable textile bonding application. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25311 Vibroengineering Procedia, Vol. 60, 2025, p. 825-831. 2345-0533 2538-8479 en Copyright © 2025 Nasiba Palvannazirova, et al.

oai:jvejournals.com:article/vp.25134 2025-12-22T12:43:12Z vp

Die casting mold design of CH367B1 aluminum alloy throttle valve body Wang, Minghui Cao, Chun Chen, Wanyao Guo, Xiaoxiao Wang, Ying Cao, Yinghan System dynamics in manufacturing system modeling die casting mold, gating system, aluminum alloy, parting surface As a core component of the automotive engine intake system, the throttle valve body is subjected to long-term engine vibrations. Defects such as gas pores and shrinkage pores in the die-cast part will cause uneven stiffness of the throttle valve body, and thus lead to fatigue failure due to local stress concentration under vibration loads. In this paper, the aluminium alloy was used as the die-casting alloy to design an efficient and simple die-casting mould for CH367B1 aluminium alloy throttle valve body. After measuring the target dimensions and conducting a preliminary analysis of the UG 3D drawing of the part, the size and structure of the valve body were analysed according to the 3D model of the part to select the appropriate parting surface. In the design process, the clamping force, chamber capacity, projected area and other parameters were calculated in order to select a suitable die-casting machine. Part-related dimensions and features were analyzed. Push-out mechanisms, molded parts, guide mechanisms, etc. were designed. The whole set of molds was obtained. Suitable casting systems were designed by calculating and checking references. Mold flow analysis was carried out using ProCAST2021 software. The optimal solution was selected by observing the liquid metal filling process and the distribution of defects, and then calibrated. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25134 Vibroengineering Procedia, Vol. 60, 2025, p. 832-838. 2345-0533 2538-8479 en Copyright © 2025 Minghui Wang, et al.

oai:jvejournals.com:article/vp.25405 2025-12-22T12:43:12Z vp

Influence of angular speed of tedder on kinematic parameters of linter machine drive Yunusov, S. Z. Kasimova, D. A. System dynamics in manufacturing system modeling kinematic diagrams, kinematic analysis, transient modes, seed roller tedder, torque, drive load, linter machine, seed roller, saw cylinder, mass resistance This article investigates the influence of the tedder’s angular speed on the kinematic and power characteristics of the drive system of the 5LP linter machine. The linter machine is a complex technological unit used to remove residual fibres from the surface of cotton seeds. One of the key factors determining linting efficiency is the interaction between the tedder and the seed roller inside the machine’s working chamber. A detailed kinematic and force analysis is presented, taking into account the resistance forces generated by the seed roller during its movement and processing. Particular attention is given to the development of a calculation model that describes the interaction between the tedder blades and the seed roller. In this model, each blade is treated as a cantilever beam subjected to variable loads resulting from the non-uniform mass and density distribution of the seed material. The analysis demonstrates that variations in the mass and density of the seed roller significantly affect the load transmitted to the drive and the stability of the saw cylinder. The obtained results enable more accurate selection of drive parameters and optimisation of the operating modes of the linter machine. These findings are crucial for improving the productivity and reliability of the equipment, as well as for accounting for both transient and steady-state operating conditions in real industrial environments. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25405 Vibroengineering Procedia, Vol. 60, 2025, p. 839-844. 2345-0533 2538-8479 en Copyright © 2025 S. Z. Yunusov, et al.

oai:jvejournals.com:article/vp.25535 2025-12-22T12:43:12Z vp

Towards the efficiency research of the working process of locomotives diesel under operating conditions Ablyalimov, Oleg Khamidov, Dostonbek System dynamics in manufacturing system modeling Diesel locomotive, atmospheric air, charge air, temperature, filling ratio, speed crankshaft, diesel, working process A method is proposed for quantitative assessment and justification of the criterion of the rationing indicators of external and boost air temperature factors on the qualitative component of the working process of two-stroke supercharged diesel engines under various load conditions of the traction power plant of operating diesel locomotives. The results of the study were obtained in the numerical values and graphs, as well as analytical dependencies (equations) designed to substantiate the parameters under study, including their average values under different operating mode diesel and ambient temperatures. These studies are recommended to continue with the aim of studying the intensity of the dynamics of the decrease or increase in the relative filling coefficients of the 10D100 diesel cylinders with air and developing a methodology for predicting the criterion of the influence of the rationing of boost indicators and outside (external) air on the operating process of diesel locomotives diesels. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25535 Vibroengineering Procedia, Vol. 60, 2025, p. 845-852. 2345-0533 2538-8479 en Copyright © 2025 Oleg Ablyalimov, et al.

oai:jvejournals.com:article/vp.25524 2025-12-22T12:43:12Z vp

Erratum: Vibrodiagnostics and dynamic operation of reinforced concrete sleepers under the influence of moving load Batyrova, Dinara Zhalelovna Zhangabylova, Aigul Mamytovna Aymurzaeva, Zhazira Kenesovna Sarsenova, Gulshat Omarkhanovna Bondar, Ivan Sergeevich Extrica 2025-12-22T00:00:00Z Erratum https://doi.org/10.21595/vp.2025.25524 Vibroengineering Procedia, Vol. 60, 2025, p. 853-853. 2345-0533 2538-8479 en Copyright © 2025 Dinara Zhalelovna Batyrova, et al.

oai:jvejournals.com:article/msea.24729 2025-12-31T12:09:04Z msea

Experimental thermal fatigue crack on brake disc of heavy vehicle Hasanlu, M. Shirvani, F. Mahdian, S. brake disc failure, thermal fatigue, material properties, heavy vehicle safety, fatigue strength, brake system durability Brake system reliability is critical for the safety and performance of heavy vehicles, including semi-trailers, passenger buses, and industrial transport units. This study investigates the thermal fatigue failure mechanisms in brake discs (BDs), which are subjected to extreme operational conditions. The primary motivation is to enhance brake disc durability and reduce the risk of catastrophic failures by understanding the interplay between material properties, thermal stress, and fatigue resistance. A comprehensive experimental approach was employed, including visual inspections, chemical composition analysis, metallurgical structure examination, hardness testing, and tensile strength evaluation. The study compares brake discs that have undergone extensive service with those in an undamaged state to identify critical degradation patterns. The results indicate that temperature fluctuations and cyclic thermal stresses induce crack formation and propagation, with rough graphite inclusions significantly reducing fatigue strength. Furthermore, deviations in silicon and carbon content were found to impact material integrity, contributing to premature failure. The findings of this research provide actionable insights for optimizing brake disc design, material composition, and manufacturing processes. By modifying graphite distribution, refining alloy compositions, and improving thermal resistance, future brake systems can achieve greater durability and reliability. These advancements will directly enhance braking efficiency, reduce maintenance costs, and improve overall vehicle safety. Extrica 2025-06-02T00:00:00Z Research article https://doi.org/10.21595/msea.2025.24729 Material Science, Engineering and Applications, Vol. 5, Issue 1, 2025, p. 31-50. 2669-2570 en Copyright © 2025 M. Hasanlu, et al.

oai:jvejournals.com:article/scat.25816 2025-12-31T12:23:06Z scat

The current state and challenges of population mobility in the Republic of Uzbekistan Nishonov, Azizbek Abdunazarov, Jamshid Shaumarov, Said Yusupov, Ulugbek Ergashev, Azizbek Kadirov, Yorkin Yaowen, Ma population mobility, population density, population growth ratio, urban transport systems, public transport, public transport coverage level This article is devoted to the analysis of the public transport systems’ coverage ratio of the central cities of the Republic of Uzbekistan except the capital city. During the research the population density and public transport network have been analysed by comparing the coverage ratio. Extrica 2025-12-29T00:00:00Z Research article https://doi.org/10.21595/scat.2025.25816 Smart Cities and Advanced Technology, Vol. 3, Issue 1, 2025, p. 1-9. 2783-6096 en Copyright © 2025 Azizbek Nishonov, et al.

oai:jvejournals.com:article/mme.25810 2026-01-08T22:00:07Z mme

Effect of parametric modulation on the stability of a periodic oscillator: a study with Airy functions Ayala-Figueroa, Rafael Ivan Chávez-Murga, Arturo Alejandro Miranda-Vega, Jesus Elias Castro-Contreras, Ruben Prieto-Avalos, Guillermo parametric resonance, airy functions, time-varying systems This work investigates the stability of a linear oscillator with a periodically varying stiffness composed of constant and linearly time-dependent segments. By combining Floquet theory with an analytical formulation in terms of Airy functions, the monodromy matrix is obtained in closed form and the characteristic multipliers that determine the stability regime are calculated. Unlike the classical literature on Hill or Mathieu systems, where the stiffness profile is assumed to switch instantaneously or vary sinusoidally, the present model explicitly incorporates finite transition times through linear ramps. This allows us to quantify how the duration of these transitions affects the onset of parametric resonance. The resulting stability map reveals alternating bands of stable and unstable regions reminiscent of Arnold tongues, and shows that the proportion of the cycle spent in the linear-ramp stage plays a decisive role in either promoting or suppressing instability. Overall, the study provides a compact analytical and numerical framework for assessing stability in periodically driven parametric systems of practical relevance in physics and engineering. Extrica 2025-12-22T00:00:00Z Research article https://doi.org/10.21595/mme.2025.25810 Mathematical Models in Engineering, Vol. 11, Issue 4, 2025, p. 176-186. 2351-5279 2424-4627 en Copyright © 2025 Rafael Ivan Ayala-Figueroa, et al.

oai:jvejournals.com:article/jve.25812 2026-08-14T21:55:03Z jve

Sensor placement method for crane structural health monitoring based on multi-level damage identification Liu, Guansi Jin, Hui Ding, Keqin Fault diagnosis based on vibration signal analysis crane, damage identification, optimal sensor placement, structural health monitoring Local damages such as microcracks and corrosion in crane steel structures often exhibit strong localization and weak mode shape perturbation characteristics. Especially when the damage scale is smaller than the modal wavelength, it cannot be simply treated as an overall damage issue for identification. In response to the diverse damage modes of crane structures and the need for dense sensor placement for local identification, a sensor optimization placement method based on multi-level damage feature fusion is proposed. Firstly, structural sub-regions are divided according to the main beam diaphragms, and sensors are arranged with boundary points as key measurement points. The displacement frequency response amplitude changes before and after damage are utilized to identify damage and eliminate insensitive measurement points to complete preliminary optimization. Secondly, a displacement frequency response amplitude change matrix is constructed, and the damage signal is enhanced through cross-frequency weighted superposition to form a damage identification vector, accurately locating the damage occurrence area. Furthermore, node-level correction is performed in candidate areas based on displacement flexibility difference values, and precise localization of damage points is achieved through priority sorting of flexibility differences. Simulation results show that under the condition where corrosion damage is set in units 20739, 20762, and 20785, the maximum point of the flexibility difference damage index is located in unit 20762, which coincides with the preset damage location, verifying the effectiveness of the hierarchical placement strategy from initial damage screening to precise localization. Extrica 2026-05-16T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25812 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1087-1104. 1392-8716 2538-8460 en Copyright © 2026 Guansi Liu, et al.

oai:jvejournals.com:article/jve.25886 2026-08-14T21:55:03Z jve

Nonsingular sliding mode control method for vibration of driving motor of ship rim propulsion device Han, Lijun Jiang, Qian Vibration control, generation and harvesting ship rim propulsion device, drive motor, vibration control, nonsingular sliding mode controller, improved quantum particle swarm optimization Owing to its unique structure, the driving motor of a ship’s rim propulsion device is subject to coupling effects from multiple physical fields. This makes it difficult for conventional control methods to effectively suppress vibrations caused by high-amplitude, complex harmonics, leading to poor speed and torque control performance. Therefore, a vibration suppression method based on disturbance observer combined with non singular sliding mode control is proposed. First, a disturbance observer is constructed to monitor motor torque in real time and accurately capture torque fluctuations induced by vibration. Secondly, design a non singular sliding mode controller to adaptively and quickly adjust the motor speed when vibration is detected. Finally, the quantum particle swarm algorithm, enhanced by the artificial bee colony algorithm, is used to optimize the controller parameters, thereby improving robustness and accuracy under multi-physics field coupling. The experimental results show that this method can accurately observe the motor torque and quickly stabilize the speed between 500 r/min-800 r/min under vibration state, with the smallest torque fluctuation amplitude. This result holds important scientific significance: it validates the effectiveness of nonsingular sliding mode control combined with intelligent optimization algorithms in decoupling multi-physics field interactions and suppressing complex electromagnetic excitation vibrations, offering a new control perspective for understanding motor dynamics under extreme operating conditions. In terms of application value, this method significantly enhances the dynamic response speed and steady-state accuracy of the driving motor, directly improving propulsion efficiency and maneuverability. It also effectively reduces fatigue wear on mechanical components, extends equipment life, and lowers operation and maintenance costs throughout the ship’s life cycle. In the future, we will explore integrating this control strategy with energy efficiency optimization for propulsion devices and investigate predictive vibration suppression methods based on digital twins to achieve smarter, more efficient health management of ship propulsion systems. Extrica 2026-05-16T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25886 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1160-1175. 1392-8716 2538-8460 en Copyright © 2026 Lijun Han, et al.

oai:jvejournals.com:article/jve.25713 2026-08-14T21:55:03Z jve

Near-field seismic wave attenuation and local magnitude calibration based on controlled blasting experiments Wang, Yu Qu, Junhao Liu, Ruifeng Wang, Zibo Wang, Qinying Shi, Kunpeng Zhou, Qijie Xie, Shiwen Seismic engineering and applications seismic monitoring, local magnitude, calibration function, blasting, near-field attenuation With the increasing depth and intensity of coal mining in China, non-natural seismic events occur more frequently, posing higher demands on mine safety and seismic monitoring. As a core parameter in earthquake monitoring and hazard assessment, precise determination of magnitude is essential for predicting and mitigating dynamic disasters. To address this, we conducted 22 controlled blasting experiments in the Weihai Port area of Shandong Province, using a combination of fixed and mobile seismic stations to systematically investigate the attenuation characteristics of near-field seismic waves and to establish a regional calibration function for local magnitude (ML). The calibration functions for both horizontal and vertical components were derived through least-squares fitting, from which the corresponding local magnitude determination formula was developed. Results from the 22 blasting events indicate good consistency of single-station magnitudes, with small deviations compared to the magnitudes determined by the Shandong Seismic Network, satisfying the required accuracy for magnitude estimation. Overall, this study establishes a calibration function applicable within 5 km of the Weihai blasting area, enhancing the consistency between magnitudes of blasting and natural earthquakes. The results provide a valuable reference for improving regional seismic monitoring systems and strengthening early warning capabilities for mine-related hazards. Extrica 2026-05-16T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25713 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1190-1204. 1392-8716 2538-8460 en Copyright © 2026 Yu Wang, et al.

oai:jvejournals.com:article/jve.25582 2026-08-14T21:55:03Z jve

A review of bridge resilience: assessment frameworks, intelligent algorithms, and future directions Zhou, Jiuqing Chen, Mingyou Li, Leifa Zhang, Guanghui Lin, Daming Seismic engineering and applications bridge engineering, review, resilience, assessment index, evaluation model Bridge resilience assessment enables bridges to maintain their structural integrity and functionality in the face of loads and disasters, improves their reliability and recovery capability, and ensures the smooth flow of transportation. This study focuses on the assessment methods and indicator selection for the seismic resilience of bridges, summarizing the latest research progress in this field. It reviews the development history of commonly used bridge resilience assessment methods and frequently used assessment methods, and comparatively analyzes the advantages and disadvantages of experimental research and numerical simulation. Several bridge resilience assessment frameworks and evaluation models are introduced, including those for single bridges as well as for entire bridge networks, to assist researchers in selecting appropriate models and frameworks based on actual conditions. The key indicators for the seismic resilience assessment of bridges are reviewed, including structural strength, deformation capacity, durability, and reparability. Finally, future directions for research are proposed. The research indicates that assessment methods for bridge resilience under the coupled effects of multiple hazards are not yet mature and require further investigation. The close integration of intelligent algorithms with bridge resilience assessment is an important future research direction. This review aims to further promote the research and application of seismic resilience assessment for bridges. Extrica 2026-05-16T00:00:00Z Review article https://doi.org/10.21595/jve.2026.25582 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1205-1238. 1392-8716 2538-8460 en Copyright © 2026 Jiuqing Zhou, et al.

oai:jvejournals.com:article/jve.26122 2026-08-14T21:55:03Z jve

Structural capacity and impact behavior of circular bridge piers strengthened by concrete jacketing Cong, Xiaohui Zhang, Yunlong Zhao, Haixia Seismic engineering and applications bridge engineering, pier column strengthening, circular cross-section, concrete jacketing method, normal section bearing capacity, impact resistance In response to the lack of clear calculation methods for the normal section bearing capacity of circular piers strengthened by concrete jacketing in current design codes, this paper derives a calculation formula applicable to the normal section bearing capacity of strengthened circular piers under unloading conditions. The derivation is based on the relevant provisions of the Specifications for Design of Highway Reinforced Concrete and Prestressed Concrete Bridges and Culverts, incorporating the plane-section assumption and ultimate state theory. Finite element verification shows that the theoretical values agree well with the simulation results, with a maximum error of –1.55 %, and the results are conservative, meeting engineering safety requirements. In terms of impact resistance, increasing the thickness of the strengthening layer significantly enhances the pier's stiffness, reduces the displacement peak, and shortens the dynamic response time, shifting the damage mode from global damage to locally controllable damage. Parameter analysis indicates that the diameter of the main reinforcement and the spacing of the stirrups have a limited effect on the displacement response but play a key role in energy dissipation capacity: increasing the main reinforcement diameter effectively improves the total energy dissipation, while reducing the stirrup spacing enhances the confinement effect on the core concrete and improves energy dissipation efficiency. Considering both economy and construction feasibility, it is recommended to prioritize larger diameter main reinforcement and control the stirrup spacing within the range of 10-15 cm in impact-resistant design to achieve an optimal balance between performance and cost. Combined with a bridge strengthening project in Changchun, this paper summarizes key technical points, forming a theoretically complete and practically verified technical system for pier strengthening. Extrica 2026-05-16T00:00:00Z Research article https://doi.org/10.21595/jve.2026.26122 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1239-1255. 1392-8716 2538-8460 en Copyright © 2026 Xiaohui Cong, et al.

oai:jvejournals.com:article/jve.25916 2026-08-14T21:55:03Z jve

Hybrid smith predictor-neuroendocrine control for semi-active suspension of high-clearance agricultural sprayers Chen, Congcong Song, Weiwei Li, Gang Ye, Yuling An, Junfeng Vibration in transportation engineering high-clearance sprayer, time-lag, smith prediction, neuroendocrine, semi-active suspension . In order to attain time-lag dynamic compensation control and decrease time-lag influence of high-clearance sprayer semi-active suspensions, a novel suspension intelligent controller based on improved Smith prediction neuroendocrine algorithm is proposed. Firstly, the time-lag semi-active suspension dynamic model of high-clearance sprayers is established, the neuroendocrine intelligent controller is designed combined with the hormone regulation mechanism in the organism. Then, by combining enhanced Smith prediction compensation controller with neuroendocrine intelligent controller, a kind of high-clearance sprayer semi-active suspension intelligent controller based on the improved Smith prediction neuroendocrine algorithm is developed. The research results show the proposed algorithm can significantly reduce body vertical acceleration (BVA) and tire dynamic load (TDL) indicators of high-clearance sprayer semi-active suspensions, effectively improve smoothness and road friendliness of sprayers, significantly enhance comprehensive performance, show strong adaptability and robustness under working conditions, and is very suitable for vibration control of the high-clearance sprayer semi-active suspension with high order time-varying, complex nonlinear and strong coupling. Extrica 2026-05-16T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25916 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1256-1274. 1392-8716 2538-8460 en Copyright © 2026 Congcong Chen, et al.

oai:jvejournals.com:article/jve.24956 2026-08-14T21:55:03Z jve

Dynamic modeling and screening performance of a double-layer forced synchronous circular vibrating screen Li, Hongxi Zhou, Enhui Jiang, Haishen Shen, Ling Yin, Zixin Mechanical vibrations and applications DLFSCVS, dynamics characteristics, EDEM, screening performance The double-layer forced synchronous circular vibrating screen (DLFSCVS) is one of the most effective solutions for material screening. In this paper, a dynamic model was established to control the vibration of the screen, and the vibration characteristics of DLFSCVS are obtained by vibration experiment and parameter analysis. The classification performance of DLFSCVS was studied by EDEM, and the screening mechanism of DLFSCVS was revealed. The results show that the established dynamic model can describe the vibration of DLFSCVS well, and the maximum deviation between the experimental results and the theoretical results was within 4.78 %. The trajectory of the screen box is approximately circular. When the vibration frequency is 14 Hz, the acceleration amplitude of the screen box in the X and Y axis directions is 34.7 and 35.2 m/s2, respectively. With the increase of vibration frequency, the displacement amplitude of the screen box is basically unchanged, and the velocity and acceleration amplitude increase gradually. The results showed that when f= 14 Hz, the screening efficiency of the upper and lower screen plates up to 0.87 and 0.93, respectively. Extrica 2026-05-28T00:00:00Z Research article https://doi.org/10.21595/jve.2026.24956 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1047-1061. 1392-8716 2538-8460 en Copyright © 2026 Hongxi Li, et al.

oai:jvejournals.com:article/jve.25941 2026-08-14T21:55:03Z jve

Dynamic response and collapse mechanisms of transmission lines under downburst-induced wind–rain loads Shao, Guodong Zhang, Chongyang Jia, Yuanchao Zhu, Mingxuan Farooq, Syed Hassan Yernaz, Oryngozhin Ren, Zhengyu Zhang, Siyao Liu, Juncai Flow induced structural vibrations downburst wind-rain field, wind-rain velocity ratio analysis, transmission tower-line system, study on wind-induced vibration response, parametric analysis, study on collapse mechanism As a localized high-intensity downdraft disaster, downbursts are a significant cause of wind-rain-induced damage to transmission lines. Their unique wind field characteristics make it difficult for existing design methods to comprehensively evaluate the resistance capacity of transmission lines. Current collapse analyses of transmission lines often fail to adequately consider the wind-rain field conditions during downbursts. Therefore, this study investigates the dynamic response and collapse mechanisms of transmission lines under downburst wind-rain conditions. First, a numerical simulation model is established to explore the distribution characteristics of wind and rain. A full-scale three-dimensional computational domain model is employed to simulate the wind-rain field, which is subsequently modified. The wind-rain velocity ratio is analyzed, and a fitting formula is proposed. Subsequently, combined distributed loads are applied to the transmission line to conduct parametric analyses of the dynamic response and investigate the collapse mechanisms. The results demonstrate that the computational domain model for simulating the wind-rain field is validated using relevant models, and the Vicroy model is modified for generating wind-rain loads. The horizontal velocity of raindrops does not synchronize with wind speed variations, and the proposed fitting formula for the wind-rain velocity ratio exhibits high accuracy. Downbursts significantly influence the dynamic response of the transmission tower-line system, with the most unfavorable wind attack angles, heights, rainfall intensities, and combined conditions identified. The collapse failure mode of the transmission line is characterized by initial damage and failure of diagonal members, leading to extensive structural collapse. The critical segments vary under different wind attack angles and reference heights, while rainfall has a minor impact on the collapse process. This study provides important technical insights for the wind-resistant design and safe operation of transmission lines. Extrica 2026-05-16T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25941 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1275-1301. 1392-8716 2538-8460 en Copyright © 2026 Guodong Shao, et al.

oai:jvejournals.com:article/jve.25925 2026-08-14T21:55:03Z jve

Structural and process parameter optimization for rotary riveting of wheel hub bearing face teeth Xiong, Wei Guo, Yong-Kun Deng, Zhong-Di Zhang, Hai-Bo Lv, Shuo System dynamics in manufacturing system modeling rotary riveting, face tooth, profile fullness, forming force, process parameters The face teeth of wheel hub bearing are manufactured using a two-step rotary riveting forming process. Controlling the forming force and improving the tooth profile fullness are critical, as these factors directly affect bearing performance. This study employs DEFORM finite element simulation combined with experimental verification to analyze the influence of structural and process parameters – including blank dimensions, pre-riveting state, feed rate, spindle rotation speed, and riveting inclination angle – on the forming force and tooth profile fullness. Optimal structural and process parameters are thereby determined. The results indicate that among blank structural parameters, wall thickness has the greatest impact on tooth profile fullness, followed by inner corner radius, with outer corner radius having the least effect. Optimized blank dimensions improve profile fullness and reduce forming force. The pre-riveting state significantly influences the tooth forming process, a fully riveted state reduces axial forming force by 24.9 % compared to a non-riveted state and markedly improves profile fullness. A smaller feed rate and higher spindle speed reduce forming force and improve profile fullness, but may cause flash at the tooth outer edge. Conversely, excessive feed rate and low spindle speed reduce profile fullness. Experimental verification shows that optimized process parameters increase tooth profile fullness by 4.6 % to 96.2 % and reduce forming force by 17.8 % compared to pre-optimization conditions, confirming the effectiveness of the parameter optimization. Extrica 2026-05-16T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25925 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1318-1331. 1392-8716 2538-8460 en Copyright © 2026 Wei Xiong, et al.

oai:jvejournals.com:article/jve.26680 2026-08-14T21:55:03Z jve

Erratum: Rolling bearing fault diagnosis under varying operating conditions using a convolutional-transformer multi-alignment approach Wang, Yiying Sui, Fulu Li, Xiaoling Zhang, Xiaoxin Liu, Mingxian Liu, Chen Wu, Jie Extrica 2026-05-19T00:00:00Z Erratum https://doi.org/10.21595/jve.2026.26680 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1332-1332. 1392-8716 2538-8460 en Copyright © 2026 Yiying Wang, et al.

oai:jvejournals.com:article/jve.25880 2026-08-14T21:55:03Z jve

Dynamic modeling and signal mapping of rotor displacement and velocity under rub-impact faults Xu, Haishan Wang, Hongchao Fault diagnosis based on vibration signal analysis rub-impact fault, full vector spectrum technology, shaft vibration, bearing vibration, homologous information fusion Shaft vibration (displacement signal) and bearing vibration (velocity signal) are key indicators for evaluating the dynamic characteristics of the rotor and supporting bearing system, and they play a crucial role in the operational performance and safety of equipment. However, in practical applications, collecting shaft vibration or bearing vibration signals often encounters multiple challenges, primarily attributed to limitations in measurement technology, interference from faults, and variations in operating environments. In-depth investigation into the intrinsic correlation between shaft vibration and bearing vibration not only enables data supplementation to improve information completeness, but also offers more precise references for fault diagnosis and condition monitoring. Therefore, this study proposes a method based on homologous information fusion, aiming to explore the intrinsic correlation between shaft vibration and bearing vibration under rub-impact faults. The study first constructs a dynamic model under rub-impact fault condition, and then fuses homologous information using full vector spectrum technology to improve the accuracy of determining the relationship between shaft vibration and bearing vibration at different rotational speeds. Finally, the reliability of simulation results is validated through the establishment of a rotor experimental rig. Experimental results reveal that by mastering this complementary relationship, the operating health status of equipment can be inferred based on the variation tendencies of other critical parameters – even when a specific measured signal is unavailable – and corresponding maintenance and management strategies can thus be formulated. Extrica 2026-06-04T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25880 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1062-1086. 1392-8716 2538-8460 en Copyright © 2026 Haishan Xu, et al.

oai:jvejournals.com:article/jve.25992 2026-08-14T21:55:03Z jve

A feature lightweight image coding method for fault diagnosis of hydraulic motor bearings: PVIE Teng, Xiaomin Xing, Huiying Wang, Wansheng Li, Jing Ma, Yunlin Fault diagnosis based on vibration signal analysis multistate, bearing, fault diagnosis, image encoding, lightweight To address the critical challenge of low diagnostic accuracy in multistate bearing fault diagnosis caused by inefficient discriminative feature extraction under varying operating conditions, this paper proposes a novel Parameter-weighted Viridis Image Encoding (PVIE) method. Unlike conventional image encoding techniques (e.g., GADF, GASF, MTF, RP) that often suffer from high computational complexity and limited feature separability in complex scenarios, PVIE integrates Variational Mode Decomposition (VMD) with a newly designed Parameter-weighted Euler Difference Feature Extraction (PWEDFE) module. This module explicitly enhances the nonlinearity and periodicity of fault signatures, mapping them into lightweight 2D feature images via Viridis Feature Value Mapping (VFVM). Extensive experiments on two benchmark datasets demonstrate that PVIE achieves exceptional diagnostic accuracies of 99.92 % and 99.74 %, respectively. Compared to state-of-the-art encoding methods, PVIE improves average accuracy by 21.06 % to 39.78 % while reducing diagnostic time by 53.3 %, significantly outperforming existing approaches in both accuracy and efficiency. Furthermore, the method exhibits robust performance under strong noise interference and small-sample scenarios. These results confirm that PVIE offers a substantial advancement over current research by providing a more discriminative, lightweight, and robust solution for real-time industrial fault diagnosis. Extrica 2026-06-04T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25992 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1142-1159. 1392-8716 2538-8460 en Copyright © 2026 Xiaomin Teng, et al.

oai:jvejournals.com:article/jve.25181 2026-08-14T21:55:03Z jve

Prediction and experimental validation of radial displacement in combined bearings for borehole trajectory control tools Guo, Peng Gao Shi, Lei Yu, Yan Fei Zhou, Zhan Mao, Dian Ren Vibration control, generation and harvesting steering tools, combined bearings, radial displacement, finite element analysis, experimentation With the decreasing of easy-to-exploit oil and gas resources, complex structure wells put forward higher requirements for wellbore trajectory control accuracy. As the core supporting part of the guiding tool, the radial displacement of the combined bearing directly affects the deflection accuracy of the spindle. In order to reveal the internal correlation mechanism between the radial displacement of the combined bearing and the accuracy of the spindle deflection control, this paper combines the statically indeterminate beam theory and the parametric finite element method to establish a spindle deflection prediction model considering multi-factor coupling. The influence of radial load, rotational speed and inner and outer ring eccentricity on the radial displacement of the combined bearing is systematically studied. The results show that the radial displacement of the combined bearing increases significantly with the increase of radial load, rotational speed and eccentricity. Especially under heavy load conditions, the change of the contact logarithm of the rollers inside the bearing leads to a nonlinear turning of the stiffness characteristics, showing obvious adaptive bearing characteristics. The prototype experiment shows that the variation trend of the simulation and the measured data is highly consistent under the condition of 30 r/min, and the error is controlled within 10 %-15 %, which verifies the accuracy of the model. This study not only quantifies the influence of key parameters on bearing displacement, but also provides a theoretical basis and parameter selection criteria for structural optimization design and accuracy improvement of rotary steering drilling tool combined bearings. Extrica 2026-06-04T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25181 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1176-1189. 1392-8716 2538-8460 en Copyright © 2026 Peng Gao Guo, et al.

oai:jvejournals.com:article/jve.25466 2026-08-14T21:55:03Z jve

Non-stationary noise suppression in low voltage power line carrier channel based on CNN-LSTM hybrid model impedance matching algorithm Zhu, Chunshan Wang, Qinglong A, Yunga Shi, Xueqi Lu, Wenjiao Acoustics, noise control and engineering applications low-voltage power line communication, non-stationary noise jamming, dynamic impedance matching, convolutional neural network-long short-term memory network Due to non-stationary noise, the low-voltage power line communication (LPCC) encounters significant challenges in smart grid applications. Conventional denoising techniques, such as wavelet thresholding and adaptive filtering, exhibit limited performance in complex industrial environments, while emerging deep learning models often suffer from insufficient real-time capability. In response to the noise characteristics of low-voltage power line channels and the limitations of traditional impedance matching algorithms, we propose a hybrid CNN-LSTM (Convolutional Neural Network-Long Short-Term Memory Network) architecture. A dual-branch feature fusion mechanism is introduced, which employs parallel processing of time-frequency features via STFT+WVD (Short-Time Fourier Transform+Wigner-Ville Distribution) to enhance noise identification accuracy. A dynamic impedance matching module, optimized in real time using a deep reinforcement learning (DRL)-based gradient descent algorithm, is developed to overcome the poor adaptability of conventional fixed-parameter approaches. Furthermore, a joint noise suppression and signal reconstruction framework is designed to effectively preserve useful signal components while suppressing noise. The experimental results verify that the proposed model achieves an SNR (Signal-to-Noise Ratio) improvement of up to 18.2 dB, outperforming the conventional DnCNN (Denoising Convolutional Neural Network) method by 16.7 %. Under harmonic interference conditions (THD = 15 %), the waveform distortion rate is only 2.1 %, with latency optimized to 9.2 ms, meeting real-time requirements. By incorporating multi-scale feature fusion and dynamic gating mechanisms, the model effectively mitigates mixed interference composed of switching impulse noise and additive white Gaussian noise, which will offer a viable solution for enhancing the reliability of LPCC systems. Extrica 2026-06-20T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25466 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1302-1317. 1392-8716 2538-8460 en Copyright © 2026 Chunshan Zhu, et al.

oai:jvejournals.com:article/jve.25469 2026-08-14T21:55:03Z jve

Dynamic characteristics of aircraft gear transmission systems under overload level-flight conditions Zhou, Renhongyi Zhang, Aiqiang Shen, Pan Liu, Yichen Mechanical vibrations and applications aircraft gear transmission system, maneuver flight conditions, internal excitation, load characteristics As a crucial component in aircraft power transmission, gear transmission systems are subjected to time-varying additional inertial loads in a non-inertial environment during aircraft maneuvers. Current dynamic analyses of these systems mostly depend on the inertial coordinate system, which assumes the gearbox is fixed to the ground and ignores the extra effects of base motion. Notably, existing models often use a rigid-flexible coupling approach – treating only key components like shafts as flexible while assuming others such as casings and gear teeth as rigid – which may deviate from the actual dynamic behavior of gear transmissions under maneuvering conditions. To address this limitation, this study establishes a full-flexible coupled multibody dynamics model for gear transmissions under overload level-flight maneuvers. By varying maneuvering acceleration magnitudes, the mechanisms by which maneuvering acceleration affects internal excitation and force characteristics in the system were explored. Results show that maneuvering acceleration induces shaft deformation, causing time-varying fluctuations in the center distance between meshing gears. This further leads to changes in meshing stiffness, transmission error, and tooth backlash. Correspondingly, bearing support force, gear meshing force, and Hertzian contact dynamic stress vary with maneuvering overload-especially the bearing force aligned with the overload direction, which is significantly affected by acceleration. This finding provides a critical theoretical basis for the structural design and dynamic optimization of high-maneuverability aircraft gear transmissions. Extrica 2026-07-06T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25469 Journal of Vibroengineering, Vol. 28, Issue 5, 2026, p. 1021-1046. 1392-8716 2538-8460 en Copyright © 2026 Renhongyi Zhou, et al.

oai:jvejournals.com:article/spw.25236 2026-07-11T14:50:04Z spw

Mining the training load metrics in basketball: a systematic review Sousa, Ana Nogueira, Filipe Barros, João Rocha, Rafael Couto, João Melo, Luís Branquinho, Luís Leite, Luciano Bernardes Rodrigues, Pedro Malheiro, Alexandra Teixeira, José Eduardo basketball, external load, internal load, team sports, workload This systematic review aimed to analyze the internal and external training load metrics used in basketball training and competition. A systematic search following PRISMA guidelines was conducted in the PubMed database from the earliest record to May 2022, and methodological quality was assessed using the Physiotherapy Evidence Database (PEDro) scale. A systematic search of the PubMed database identified 95 records, from which seven studies met the inclusion criteria. Internal load was primarily quantified using peak heart rate (HR) during 3×3 matches (%HRmax, n= 1), HR monitoring (n= 3), training momentum (n= 1), and rating of perceived exertion (RPE, n = 4). External load metrics included changes of direction and peripheral fatigue (n= 1), vertical jumps (n= 2), motion analysis, and GPS tracking (n= 1). The most commonly applied training load measures were RPE, HR-based monitoring, and time-motion analysis. These findings provide valuable insights for optimizing workload management in basketball. Coaches can use individualized training approaches considering positional demands, integrate small-sided games to manipulate load, and apply wearable technology for real-time monitoring. Additionally, injury prevention strategies should incorporate acute-to-chronic workload ratios. However, it must be acknowledged that the restricted use of PubMed as the sole database severely limited the comprehensiveness of the review, and therefore the conclusion that only seven studies exist should be interpreted with caution. Further research is needed on female and youth players to enhance evidence-based monitoring strategies across different populations. Extrica 2026-02-21T00:00:00Z Review article https://doi.org/10.21595/spw.2025.25236 Sports, Performance and Wellbeing, Vol. 1, Issue 1, 2026, p. 1-14. 3030-1610 en Copyright © 2026 Ana Sousa, et al.

oai:jvejournals.com:article/spw.26014 2026-07-11T14:50:04Z spw

Exercise as a strategy to mitigate treatment-related toxicity in colon cancer: a narrative review Peixoto, Rafael Freire, Cristiana Teixeira, Inês Adegas, Matilde Gomes, Rafael Rabaçal, Ricardo Silva, Sara Malheiro, Alexandra Moreira, Tiago Rafael colon cancer, chemotherapy-induced peripheral neuropathy, treatment toxicity, physical exercise Colon cancer remains a major contributor to global cancer incidence and mortality. Standard treatments, including surgery, fluoropyrimidine-based chemotherapy, and targeted biological agents are frequently accompanied by substantial toxicity, such as chemotherapy-induced peripheral neuropathy (CIPN) and postoperative functional decline, which can impair quality of life and compromise treatment adherence [2, 5]. Physical exercise has emerged as a promising supportive strategy to attenuate these adverse effects and promote functional recovery [10, 2]. This narrative review synthesizes available evidence on toxicity associated with colon cancer treatment and examines the potential mitigating role of structured exercise interventions, with particular emphasis on CIPN and postoperative functional outcomes. A focused review of recent clinical studies was conducted, emphasizing four key investigations that evaluated exercise-based interventions during or after treatment with chemotherapy and/or surgery. These studies included randomized controlled trials, a qualitative study, and a process-evaluation protocol, and assessed outcomes related to neurological toxicity, physical fitness, feasibility, and acceptability of exercise programs. Across studies, exercise interventions ranging from supervised walking plus resistance programs to home-based and isometric training were consistently safe, well tolerated, and associated with beneficial effects on CIPN symptoms, physical fitness, and patient-reported feasibility [11-14]. Adherence was generally high, and no serious exercise-related adverse events were reported. Individualized prescription, flexibility of delivery (hospital and home-based), and ongoing clinical support emerged as critical determinants of success. The available evidence suggests that physical exercise can attenuate selected toxicities related to colon cancer treatment particularly neurological and functional impairments while supporting rehabilitation and survivorship. Integration of exercise into standard care pathways is recommended as a feasible and safe strategy, although larger, well-designed trials are required to define optimal exercise type, dose, and timing in patients with colon or colorectal cancer. Extrica 2026-02-21T00:00:00Z Review article https://doi.org/10.21595/spw.2026.26014 Sports, Performance and Wellbeing, Vol. 1, Issue 1, 2026, p. 15-23. 3030-1610 en Copyright © 2026 Rafael Peixoto, et al.

oai:jvejournals.com:article/spw.25221 2026-07-11T14:50:04Z spw

Analytical model of modular upper limb rehabilitation Hasanlu, M. Siavashi, M. Shirvani, M. human-machine interaction, therapeutic devices, biomechanics, motion analysis, kinematic analysis This article presents a modular, reconfigurable robotic system for upper-limb rehabilitation that supports customizable therapy of the wrist, elbow, and shoulder – individually or in coordinated multi-joint modes. Unlike fixed-structure devices, the design features adjustable link lengths and a symmetric architecture that accommodates both left and right limbs and a wide range of patient anatomies. The current paper develops complete kinematic and dynamic models that include nonlinear inertial, Coriolis, and gravitational effects and integrates these models with real-time torque- and force-control strategies to achieve precise, safe motion tracking. The modular hardware and control stack facilitate instantaneous reconfiguration of the workspace, impedance, and safety limits to align with patient-specific protocols and progression. This research paper simulates the approach in detailed numerical modeling that demonstrates the robot’s kinematic reachability, dynamic controllability, and the effectiveness of fault-tolerant reconfiguration strategies under representative disturbance scenarios. Finally, the current analyses discuss practical considerations for implementation, friction and contact modeling – and outline how the system can accelerate translation for clinical trials. This work mathematically provides a practical, model-based platform for patient-tailored rehabilitation robotics and a foundation for further research in adaptive control and assistive therapy technologies. Extrica 2026-02-21T00:00:00Z Research article https://doi.org/10.21595/spw.2025.25221 Sports, Performance and Wellbeing, Vol. 1, Issue 1, 2026, p. 24-45. 3030-1610 en Copyright © 2026 M. Hasanlu, et al.

oai:jvejournals.com:article/spw.25257 2026-07-11T14:50:04Z spw

CrossFit practitioners' motivation in Penafiel Silva, Sara Batista, Amanda Malheiro, Alexandra Leal, Miguel Flores, Pedro Ribeiro, Joana motivation, CrossFit, exercise motivations inventory-2 Motivation is crucial for adhering to and maintaining regular physical activity. In CrossFit, factors such as competition, personal achievement, and socialization influence the continuity of practice. This study aimed to investigate the motivational aspects of CrossFit practitioners in boxes in the municipality of Penafiel. To this effect, an Exercise Motivation Questionnaire (QME), the Portuguese version of the Exercise Motivations Inventory-2 (EMI-2), was applied to 135 regular CrossFit practitioners. Data analyses were carried out using descriptive statistics and T-tests for independent samples to compare motivational aspects between sexes. The results indicated that the most prevalent motives were pleasure in practicing, the search for health, and personal improvement. There were statistically significant differences between the sexes, with men valuing competition and social recognition more, while women attributed greater importance to health and revitalization. Overall, CrossFit practitioners reported high scores on motives commonly associated with enjoyment, health, well-being, and personal improvement; however, because intrinsic and extrinsic motivation composites were not directly tested, this interpretation should be considered exploratory. These results reinforce the importance of taking these differences into account when designing strategies to promote the practice, aiming to increase adherence, boost involvement, and reduce drop-out rates. Extrica 2026-06-30T00:00:00Z Research article https://doi.org/10.21595/spw.2026.25257 Sports, Performance and Wellbeing, Vol. 1, Issue 1, 2026, p. 46-58. 3030-1610 en Copyright © 2026 Sara Silva, et al.

oai:jvejournals.com:article/spw.25271 2026-07-11T14:50:04Z spw

The effects of physical exercise on self-concept during the COVID-19 pandemic in adolescents with typical development Flores, Pedro Teixeira, Carlos Malheiro, Alexandra Alves, Emília Ferreira, Luís Ribeiro, Joana physical self-concept, physical exercise, adolescents, pandemic, COVID-19 This study analyzed the evolution of physical self-concept (SCA), body self-concept (BCA), and perceived physical fitness (PFA) in elementary school adolescents at two different times during the COVID-19 pandemic. The sample consisted of 84 participants, divided by gender and whether or not they practiced physical exercise (PE). The Physical Self-Description Questionnaire (PSDQ), a validated questionnaire, was used to assess the variables under study, and the data was analyzed using descriptive and inferential statistical methods. The results showed that physically active boys had higher levels of SCA, mainly influenced by the SCAF, with significant differences compared to sedentary boys. In girls, there were improvements in various dimensions of BSC and SCAF, regardless of whether they practiced PE. There was also a positive association between BSC and SCAF only among active boys, especially towards the end of the pandemic period. The findings may indicate that PE is associated with more favorable perceptions of physical fitness among boys, although causal relationships cannot be inferred from the present data. Extrica 2026-06-30T00:00:00Z Research article https://doi.org/10.21595/spw.2026.25271 Sports, Performance and Wellbeing, Vol. 1, Issue 1, 2026, p. 59-71. 3030-1610 en Copyright © 2026 Pedro Flores, et al.

oai:jvejournals.com:article/vp.26518 2026-07-16T10:40:09Z vp

Influence of stiffness parameters on the beat period of a coupled two degree of freedom oscillatory system Zhauyt, Algazy Bauyrzhan, Marzhan Tursynkali, Ulagat Mechanical vibrations and applications coupled oscillations, Lagrange’s equations, analysis, trajectories, frequency-domain This paper presents a parametric investigation of the beat phenomenon in a two DOF mechanical oscillatory system coupled through elastic elements. The system consists of three masses connected by springs with stiffness coefficients c1, c2, and c3. Using Lagrange’s equations of the second kind, the mass and stiffness matrices were formulated, and the natural frequencies ω1 and ω2 were determined analytically. The beat period, defined as Tb=2π/ω2-ω1, was studied as a function of stiffness parameters c1 and c2. Numerical simulations in Python were conducted over a wide range of stiffness ratios, and contour maps were generated to illustrate how variations in stiffness coupling influence the dynamic interaction between modes. The results demonstrate that when c1 and c2 are close in magnitude, the modal frequencies converge, leading to a long beat period and pronounced energy exchange between oscillators. Conversely, greater stiffness asymmetry increases modal separation and shortens the beat cycle. The study provides valuable insights into tuning coupled oscillatory systems for vibration control and energy transfer optimization. Extrica 2026-07-16T00:00:00Z Research article https://doi.org/10.21595/vp.2026.26518 Vibroengineering Procedia, Vol. 63, 2026, p. 1-6. 2345-0533 2538-8479 en Copyright © 2026 Algazy Zhauyt, et al.

oai:jvejournals.com:article/spw.26717 2026-07-11T14:50:04Z spw

The influence of playing position on physical performance variables in young handball players Ribeiro, João Moreira, Jorge Campos, Samuel Vinagre, Vitor Malheiro, Alexandra Afonso, Pedro handball, playing position, physical performance, VO2max, jump power, handgrip strength, youth athletes 2. This study aimed to analyse the influence of playing position on selected physical performance variables in young male handball players. It was hypothesised that playing position would influence physical performance variables in young handball players, namely VO2max, jump power and handgrip strength, particularly right-hand grip strength, due to the different physical, technical and tactical demands associated with each playing position. The sample consisted of 16 athletes from the same team, with a mean age of 14.0±0.7 years, distributed across five playing positions: wing, pivot, centre, goalkeeper and back. Aerobic capacity was assessed through the Yo-Yo Test, from which VO₂max was estimated. Jump power was measured using a force plate, while handgrip strength was assessed with a hand dynamometer for both right and left hands. Descriptive statistics were used to characterise the sample, and the Kruskal-Wallis test was applied to compare performance variables between playing positions. The results showed no statistically significant differences between positions for VO₂max, jump power or left-hand grip strength. However, a significant difference was found for right-hand grip strength, with higher values observed in backs and goalkeepers. Therefore, the results partially confirmed the hypothesis, as playing position appeared to influence right-hand grip strength, but not all the physical performance variables analysed. Although some positional trends were identified, the small sample size requires cautious interpretation. These findings suggest that playing position may influence specific physical performance characteristics in youth handball, supporting the importance of individualised and position-specific training programmes. Extrica 2026-06-30T00:00:00Z Research article https://doi.org/10.21595/spw.2026.26717 Sports, Performance and Wellbeing, Vol. 1, Issue 1, 2026, p. 72-81. 3030-1610 en Copyright © 2026 João Ribeiro, et al.

oai:jvejournals.com:article/lger.26262 2026-07-13T20:30:02Z lger

Techno-economic assessment of hydrogen as an alternative fuel to natural gas in industrial gas turbines for power generation: a case study of the Ibom power plant Agbadede, Roupa Kainga, Biweri economic analysis, hydrogen fuel, engine performance analysis, net present value, internal rate of return This study investigates the techno-economic feasibility of utilizing hydrogen as a substitute for natural gas in an industrial gas turbine power plant, using the GE Frame 9E unit of the Ibom Power Station, Nigeria, as a case study. Engine performance simulations were conducted using GasTurb 11 software to evaluate key performance parameters under natural gas and hydrogen fueling conditions. A discounted cash flow-based economic model was developed to assess the financial viability of both fuel options over a 20-year plant lifecycle, employing indicators such as Net Present Value (NPV) and Internal Rate of Return (IRR). Results indicate that hydrogen operation yields a marginally higher thermal efficiency and lower heat rate compared to natural gas due to hydrogen’s higher heating value. However, economic analysis reveals that, despite performance improvements, hydrogen-fueled operation demonstrates not to be economically viable under current cost assumptions. The natural gas–fired engine achieved a NPV of approximately $99.5 million and an IRR of 17.4 %, whereas the hydrogen-fired engine produced a negative NPV of approximately –$358.1 million, largely driven by the high cost of hydrogen fuel. The findings demonstrate that while hydrogen offers environmental and performance benefits, significant reductions in hydrogen fuel costs or strong policy incentives are required before it can compete economically with natural gas for industrial gas turbine power generation. Extrica 2026-06-05T00:00:00Z Research article https://doi.org/10.21595/lger.2026.26262 Liquid and Gaseous Energy Resources, Vol. 6, Issue 1, 2026, p. 1-13. 2669-2791 en Copyright © 2026 Roupa Agbadede, et al.

oai:jvejournals.com:article/lger.26705 2026-07-13T20:30:02Z lger

Vibration protection of oil pipeline pumping equipment using systems with quasi-zero stiffness Valeev, Anvar Zotov, Alexey Artem, Tokarev Regina, Khuramshina quasi-zero stiffness, vibration isolation, oil pumping unit, disk springs, negative stiffness, foundation, dynamic loads, force transmissibility The article is devoted to the problem of vibration protection of main oil pipeline pumping equipment using vibration isolators with quasi-zero stiffness (QZS). The operation of centrifugal pumps at oil pumping stations generates significant dynamic loads transmitted to foundations and adjacent structures, leading to accelerated wear, reduced reliability, and increased construction costs due to the necessity of massive foundations. The theoretical foundations of QZS systems are presented, including the principle of combining positive and negative stiffness elements to achieve a near-zero effective stiffness region while maintaining high static load-bearing capacity. A mathematical model of a proposed QZS vibration isolator based on disk springs (Belleville washers) is developed, and the conditions for achieving the quasi-zero stiffness regime are derived. The force transmissibility analysis demonstrates that QZS isolators with natural frequencies below 1 Hz can reduce transmitted dynamic forces by orders of magnitude compared to conventional rubber or spring mounts. A practical calculation of foundation concrete volume reduction is performed for a NM 10000-210 pump unit, showing that the application of QZS isolators can decrease the required foundation volume by more than 60 %. The results confirm the high efficiency and economic feasibility of QZS vibration isolators for oil pipeline pumping stations, compressor stations, and other industrial equipment in the oil and gas industry. Extrica 2026-06-16T00:00:00Z Research article https://doi.org/10.21595/lger.2026.26705 Liquid and Gaseous Energy Resources, Vol. 6, Issue 1, 2026, p. 22-33. 2669-2791 en Copyright © 2026 Anvar Valeev, et al.

oai:jvejournals.com:article/lger.26708 2026-07-13T20:30:02Z lger

An experimental-analytical model for the dissolution of asphaltene-resin-paraffin deposits with determination of the influence coefficients of solvent components and ultrasonic treatment Khuramshina, Regina Valeev, Anvar Muratova, Vera Dmitrieva, Tatyana asphaltene-resin-paraffin deposits, asphaltene-resin-paraffin deposits, solvent, ultrasound, hydrocarbon, composition, deposit The purpose of this work is to predict the effectiveness of solvents, including under the influence of ultrasonic exposure, on asphalt-resin-paraffin deposits with a given group composition and to assess their economic effectiveness. The article discusses the historical aspects of the use of ultrasound. Physical and chemical studies of asphalt-resin-paraffin deposits were carried out. The process of removal of asphalt resin-refined deposits in a statistical mode with additional ultrasonic exposure and without ultrasonic exposure was investigated. Based on experimental studies, the effect of the component composition on the effectiveness of various solvents was established. An assessment of the efficiency and economic indicators of cleaning various ARPD by various methods was obtained. Extrica 2026-06-26T00:00:00Z Research article https://doi.org/10.21595/lger.2026.26708 Liquid and Gaseous Energy Resources, Vol. 6, Issue 1, 2026, p. 14-21. 2669-2791 en Copyright © 2026 Regina Khuramshina, et al.

oai:jvejournals.com:article/vp.26520 2026-07-16T10:40:09Z vp

Non-stationary transverse vibrations of a three-layer viscoelastic plate: approximate model and frequency analysis Yаkhshiboеv, Sherzod Rаzzаkov, Numonkhon Khаydаrovа, Khilola Mechanical vibrations and applications three-layer viscoelastic plate, transverse vibration, non-stationary dynamics, harmonic oscillation, frequency analysis, wave number This paper presents an approximate mathematical model for the analysis of non-stationary transverse vibrations of a three-layer viscoelastic plate composed of two load-bearing face layers and a deformable core. The governing equations are derived within the framework of the three-dimensional linear elasticity theory under plane deformation assumptions and reduced to a form suitable for engineering calculations. A frequency equation for harmonic vibrations is obtained and solved numerically using Maple 17. The analysis is performed for plates with steel and aluminum face layers combined with different core materials, including polymer, fiberglass, wood plastic, and textolite, for several core thicknesses. The numerical results are presented as frequency-wave number relationships and used to evaluate the influence of geometric and physical-mechanical parameters on the dynamic response of the plate. It is shown that the lowest vibration frequency increases with increasing wave number and core thickness. For identical geometric parameters, plates with aluminum face layers exhibit slightly higher frequencies than plates with steel face layers, whereas the core material significantly affects the frequency level due to the combined influence of stiffness and density. The proposed model can be used for rapid frequency assessment of layered structural elements subjected to transverse dynamic loading. Viscoelastic dissipation in the layers is introduced through the elastic-viscoelastic correspondence principle, and the formal range of applicability of the model is identified in terms of the dimensionless wave number kh0 and the face-to-core thickness ratio. The proposed model is verified against a Semi-Analytical Finite Element (SAFE) plane-strain 3-D elasticity benchmark, against which it agrees substantially better than the classical Kirchhoff-Love thin-plate theory within the entire claimed applicability range. Extrica 2026-07-16T00:00:00Z Research article https://doi.org/10.21595/vp.2026.26520 Vibroengineering Procedia, Vol. 63, 2026, p. 7-17. 2345-0533 2538-8479 en Copyright © 2026 Sherzod Yаkhshiboеv, et al.

oai:jvejournals.com:article/jme.24904 2025-09-30T09:00:01Z jme

Small targets detection in low-resolution remote sensing images based on super-resolution joint optimization Huang, Bo Lin, Jian Huang, Enqi Wu, Liaoni Cao, Yiqing super-resolution reconstruction, small object detection, generative adversarial networks, remote sensing images While convolutional neural networks have driven remarkable progress in remote sensing object detection, persistent challenges remain in detecting small targets within low-resolution imagery due to their limited pixel representation and feature degradation during hierarchical downsampling. To address this, this study proposed the joint super-resolution and detection network (JSRDN), which synergistically optimizes SR reconstruction through task-specific detection feedback, significantly enhancing small target recognition in LR remote sensing imagery. Firstly, generator in generative adversarial network incorporates improved residual blocks, enabling enhanced perception of complex deep-level features in the SR reconstruction process. Then, a perceptual loss function is introduced into the adversarial training process, which captures perceptual discrepancies in high-level features between reconstructed images and original HR references. After that, an edge-enhancement network is designed to dynamically detect edges in intermediate features restored by the generator, prioritizing edge influence across network layers to generate discriminative features for target recognition. Furthermore, the JSRDN implements detection-driven feedback by backpropagating object recognition loss through the generator, enforcing the super-resolution process to prioritize detection-salient feature recovery. Evaluated on 64×64 low-resolution COWC datasets, JSRDN achieves 0.1819 dB peak signal-to-noise ratio (PSNR) and 7.18 % average precision (AP) improvements over the deep residual dual-attention network (DRDAN), with ablation studies and visualizations confirming its balanced optimization of reconstruction fidelity and detection-oriented feature learning. This technology can provides valuable support for small target measurement and opens new opportunities in the field. Extrica 2025-07-16T00:00:00Z Research article https://doi.org/10.21595/jme.2025.24904 Journal of Measurements in Engineering, Vol. 13, Issue 3, 2025, p. 682-700. 2335-2124 2424-4635 en Copyright © 2025 Bo Huang, et al.

oai:jvejournals.com:article/jme.24805 2025-09-30T09:00:01Z jme

Research on bearing equipment fault diagnoses via SAWOA-LSTM Li, Yan bearing, fault diagnosis, whale optimization algorithm To address the current low fault diagnosis accuracy problem for bearing equipment, and improve the detection methods, in this paper a sine-adapted whale optimization algorithm (SAWOA)-based optimization of a long short-term memory (LSTM) network is proposed as the equipment fault diagnosis method (SAWOA-LSTM). First, an optimization strategy based on sinusoidal population initialization and adaptive optimization is proposed for the whale optimization algorithm, which has the two drawbacks of slow convergence and easily falling into a local optimum. Second, to improve the accuracy and efficiency of fault diagnoses, the SAWOA is used to optimize the number of hidden units and the learning rate parameter of the LSTM. Compared with ACO-, PSO-, and WOA-based LSTM models, the proposed method improves diagnostic accuracy by 14.17 %, 15.03 %, and 4.32 %, respectively. In tests on 50 bearing samples, SAWOA-LSTM further improves accuracy for RBD, IRA, and ORD by 1.08 %, 1.62 %, and 1.10 %, respectively. Our algorithm provides an innovative solution for the health management of complex industrial bearing equipment. Extrica 2025-07-27T00:00:00Z Research article https://doi.org/10.21595/jme.2025.24805 Journal of Measurements in Engineering, Vol. 13, Issue 3, 2025, p. 655-668. 2335-2124 2424-4635 en Copyright © 2025 Yan Li.

oai:jvejournals.com:article/jme.24825 2025-09-30T09:00:01Z jme

Self-supervised CNN for user behavior analysis on smart meter data Wang, Fan Pan, Wei Jia, Wei Zhao, Yun Lu, Yuxin Lv, Xiaojie convolutional neural network, self-supervised learning, fast fourier transform, socio-demographic information, deep learning Smart meters generate extensive data on individual consumer electricity usage, providing valuable insights that can aid in identifying demographic information and advancing the development of smart grids. Current research has primarily focused on traditional machine learning approaches for this task, with relatively few studies exploring deep learning methods, despite their potential for more accurate and efficient analysis. To address this gap, this paper proposes a self-supervised deep learning approach based on Convolutional Neural Network (CNN) to identify demographic information from smart meter data. The model leverages the Fast Fourier Transform (FFT) to detect frequency cycles within the dataset, which are then used to optimize the sizes of convolutional kernels. This design enhances periodic stability during shallow feature extraction, improving the model’s ability to capture meaningful patterns in the data. Furthermore, the model incorporates a self-supervised pre-training strategy to predict temporal and spatial interactions in load signals, effectively enhancing representation learning without relying on extensive labeled data. This approach ensures the model’s robustness and adaptability to different datasets. Comprehensive experiments were conducted on a publicly available Irish dataset to evaluate the model’s performance. Results demonstrate that the proposed model surpasses a series of state-of-the-art (SOTA) methods, achieving superior performance in demographic information identification. These findings highlight the effectiveness of integrating FFT-based kernel design and self-supervised learning in improving feature extraction and representation learning for smart meter data. Extrica 2025-08-12T00:00:00Z Research article https://doi.org/10.21595/jme.2025.24825 Journal of Measurements in Engineering, Vol. 13, Issue 3, 2025, p. 563-580. 2335-2124 2424-4635 en Copyright © 2025 Fan Wang, et al.

oai:jvejournals.com:article/jme.24826 2025-09-30T09:00:01Z jme

Numerical simulation of chloride ion transport in concrete based on a random aggregate model Wen, Dongchang Guo, Guohe Zhao, Shangchuan Liu, Longlong bridge engineering, stochastic aggregate, chloride ion diffusion, numerical simulation A three-dimensional stochastic aggregate model of concrete was established using the Monte Carlo method, and a numerical simulation of chloride ion diffusion at the microscopic level was conducted. The study investigated the migration behaviour of chloride ions in concrete regarding mixing proportions and temperature. The results showed that compared to the simulation results at an ambient temperature of 20 ℃, the chloride ion diffusion coefficient increased by 31 % and 70.5 % for concrete at 25 ℃ and 30 ℃ at 28 days, respectively. The chloride ion penetration depth increased by 17.3 % and 34.9 % for concrete at 25 ℃ and 30 ℃, respectively. With a slag content of 10.4 %, 20.8 %, and 27.1 %, the chloride ion diffusion coefficient at 28 days decreased by 1.4 %, 2.7 %, and 4.1 %, respectively. With a fly ash content of 8.3 %, 16.7 %, and 25 %, the chloride ion diffusion coefficient at 28 days decreased by 2.1 %, 5.4 %, and 9.2 %, respectively. Both slag and fly ash can reduce the chloride ion diffusion coefficient in concrete, with fly ash showing better effectiveness than slag. A water-to-binder ratio of 0.4, combined with 27.1 % slag and 25 % fly ash as cement replacements, can effectively improve the resistance of concrete to chloride ion attack. The micro-scale finite element model of concrete, developed through Monte Carlo simulation, offers enhanced visualization of chloride ion penetration processes under varying mix proportions and temperature conditions. Extrica 2025-08-24T00:00:00Z Research article https://doi.org/10.21595/jme.2025.24826 Journal of Measurements in Engineering, Vol. 13, Issue 3, 2025, p. 581-595. 2335-2124 2424-4635 en Copyright © 2025 Dongchang Wen, et al.

oai:jvejournals.com:article/jve.24974 2025-09-30T09:08:02Z jve

Complex fault diagnosis in wind turbine bearings: a hybrid approach combining the improved feature mode decomposition and convolutional neural networks Du, Yongbin Wang, Hengyu Zhao, Yuanhai Sun, Kunwang Zhang, Yi Fault diagnosis based on vibration signal analysis rolling bearing, composite fault diagnosis, eigenmode decomposition, deep learning The complex noise interference and diverse fault-induced signals in vibration data from wind turbine equipment pose significant challenges for bearing fault diagnosis, including cumbersome methodologies, prolonged processing times, and compromised accuracy. To address these limitations, this study proposes a novel composite fault diagnosis framework that integrates Feature Mode Decomposition (FMD), Fast Spectral Kurtosis (FSK), and Convolutional Neural Network (CNN). While conventional Empirical Mode Decomposition (EMD) exhibits limited noise robustness and struggles to extract subtle fault signatures in composite failure scenarios, our approach employs FMD to decompose fault-related intrinsic mode functions (IMFs)and further filters the IMF components using fast spectral cliffs with enhanced feature separability. Subsequently, the Short-Time Fourier Transform (STFT) is applied to derive time-frequency representations, followed by Fast Spectral Kurtosis analysis to identify optimal demodulation bands for non-stationary signals. The energy spectrum of denoised signals is converted into grayscale images, serving as input to a tailored CNN architecture for hierarchical feature learning. Experimental validation demonstrates that this hybrid methodology achieves a fault recognition accuracy of 98 % under compound fault conditions, outperforming conventional EMD-based approaches in terms of noise immunity and diagnostic precision. Comparative analysis reveals an 8 % improvement in detection reliability over standalone deep learning models, particularly in low signal-to-noise ratio (SNR) environments. The proposed framework offers a robust solution for multi-fault identification in industrial Bearing machinery, demonstrating superior generalization capability across varying operational conditions. Extrica 2025-08-12T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24974 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 941-956. 1392-8716 2538-8460 en Copyright © 2025 Yongbin Du, et al.

oai:jvejournals.com:article/jve.25037 2025-09-30T09:08:02Z jve

Neural network-based ANC algorithms: a review Liu, Ruoqin Liu, Qichao Wang, Yunhao Yu, Wenjing Cheng, Guo Acoustics, noise control and engineering applications active noise control, neural networks, network architecture, training methods, nonlinearity Active Noise Control (ANC) technology is of great value in the field of noise mitigation. Recently, traditional linear adaptive control methods, represented by the FxLMS algorithm, are structurally simple and computationally efficient but often suffer from performance degradation or even failure in practical applications due to nonlinear system factors. For this reason, neural network-based ANC methods have attracted significant research interest for their strong nonlinear processing capabilities and have gradually emerged as a focal point for addressing nonlinear ANC problems. This paper systematically reviews the research progress of neural networks in the field of nonlinear ANC, focusing on two key dimensions: network architecture and training methods. In terms of architecture design, existing studies primarily enhance performance through topology optimization, improvements to functional link artificial neural networks, and innovative hidden layer designs. Advancements in training methods focus on the optimization of loss functions, innovation in weight update algorithms, and the introduction of other training strategies. In the future, neural network-based ANC algorithms will continue to deepen, with potential development paths including the integration of advanced network architectures such as Generative Adversarial Networks (GANs), optimization of utility functions, pruning of hidden layers, improvement in loss function design, and the adoption of more efficient training strategies. These efforts will further improve algorithm performance and ultimately provide robust support for achieving more precise and efficient active noise control. Extrica 2025-08-13T00:00:00Z Review article https://doi.org/10.21595/jve.2025.25037 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 1105-1123. 1392-8716 2538-8460 en Copyright © 2025 Ruoqin Liu, et al.

oai:jvejournals.com:article/jve.24906 2025-09-30T09:08:02Z jve

Enhancing sound absorption of Helmholtz resonance metamaterials with extended microperforated neck Du, Xianghua Mao, Rongfu Acoustics, noise control and engineering applications Helmholtz resonator, metamaterial, low frequency, sound absorption To enhance sound absorption of Helmholtz resonance metamaterials in low frequency region with simple structure and engineering practicability, according to the well-established acoustic absorption theory of micro-perforated panel, a novel designed Helmholtz resonance metamaterial with extended microperforated neck is proposed, and a theoretical modelling method is developed by using the transfer matrix method which is validated by finite element simulation. Both theoretical calculation and finite element simulation results show that sound absorption performance of proposed Helmholtz resonance metamaterial is improved significantly compared to that of Helmholtz resonator with normal neck, and the resonant absorption coefficient is close to 1. The influence of geometric parameters of microperforated neck is also investigated in detail, and some meaningful conclusions are drawn. This work provides a perfect solution for low-frequency noise control with Helmholtz resonance metamaterials. Extrica 2025-08-13T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24906 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 1124-1134. 1392-8716 2538-8460 en Copyright © 2025 Xianghua Du, et al.

oai:jvejournals.com:article/jve.25099 2025-09-30T09:08:02Z jve

Multi-mode frequency response prediction of milling robot based on feature transferring with small sample sets Cai, Xu-Lin Yang, Wen-An You, You-Peng System dynamics in manufacturing system modeling frequency response prediction, feature transferring, extreme learning machine, finite element method, milling robot Industrial robots are increasingly used in machining due to their cost-effectiveness and larger work envelopes. However, their relatively low structural stiffness makes them vulnerable to machining chatter, which negatively impacts both process stability and surface quality. Accurate prediction of the multi-mode frequency response function (FRF) of robotic milling systems is crucial to ensure process stability. Traditional FRF prediction approaches, however, often require extensive experimental procedures, are complex, and are time-consuming. To address these challenges, this study proposes an innovative feature-transfer-based method for multi-mode FRF prediction in milling robots, requiring only a minimal set of impact tests. The method organizes measured FRFs into second-order complex tensors, facilitating the transfer of features between different postures. Multi-mode parameters of the tool-tip FRF under the source posture are extracted using the least-squares complex exponential (LSCE) method and assembled into a label vector. A complex-kernel extreme learning machine with augmented inputs (CKELM-AI) is then trained to predict the tool-tip FRF under the target posture. Additionally, a virtual sample generation strategy based on CKELM-AI and feature augmentation, including statistical, frequency, and time-frequency features, is applied to enhance prediction accuracy. Experimental validation on a milling robot demonstrates that the proposed method significantly improves both prediction efficiency and accuracy, establishing a new, more efficient approach for predicting multi-mode FRFs without the need for extensive testing. Extrica 2025-08-13T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25099 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 1135-1158. 1392-8716 2538-8460 en Copyright © 2025 Xu-Lin Cai, et al.

oai:jvejournals.com:article/jve.25056 2025-09-30T09:08:02Z jve

Fault diagnosis of time-varying speed gearbox based on gated recurrent dropout attention unit Wang, Zhenhu Liu, Chaozhong Fault diagnosis based on vibration signal analysis time-varying speed, attention gate mechanism, cyclic dropout learning strategy, GRDAU, gearbox In response to the difficulty of fault diagnosis of gearbox under time-varying speed conditions, this paper presents a novel approach for diagnosing gearbox faults in time-varying speed, utilizing an improved gate recurrent unit (GRU), which adds attention gate mechanism and cyclic dropout learning strategies on the basis of the GRU, and constructs a new model named as gated recurrent dropout attention unit (GRDAU). By introducing attention gate mechanism to realize allocating weights dynamically, focusing on key features, and enhancing GRU’s ability to capture important information. In addition, the designed cyclic dropout learning strategy reduces excessive dependence on specific hidden states by randomly discarding some hidden state information. Finally, the robustness and excellent interference suppression ability of the proposed method were verified through case analysis of a gearbox under time-varying speed, and the diagnostic accuracy of the method is as high as 99.78 %. Comparative experiments were conducted to validate its superior performance and stronger generalization ability compared to existing advanced diagnostic methods. Extrica 2025-08-16T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25056 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 978-990. 1392-8716 2538-8460 en Copyright © 2025 Zhenhu Wang, et al.

oai:jvejournals.com:article/jve.24962 2025-09-30T09:08:02Z jve

Fault diagnosis method for wind turbine rolling bearings based on adaptive deep learning Zhang, Ruijun Li, Rui Liu, Chuan Zhu, Jing Shi, Yaowei Fault diagnosis based on vibration signal analysis wind turbine, rolling bearing, fault diagnosis, convolutional neural network, bidirectional long short-term memory network In response to the problem of difficulty in extracting fault features of rolling bearings in wind turbine transmission systems under complex working conditions, which limits the accuracy of fault diagnosis. This article proposes an Adaptive Deep Learning based Rolling Bearing Fault Diagnosis Method (ADLM). Introducing dynamic convolution into Convolutional Neural Networks (CNNs) can adaptively capture data features; At the same time, the fishing optimization algorithm (CFOA) was used to optimize the hyperparameters of the bidirectional long short-term memory network (BiLSTM), and the CFOA-BiLSTM network was constructed to fully leverage its advantages in time series analysis. The specific implementation steps are as follows: first, preprocess the collected vibration signals and divide the processed dataset into a training set and a testing set; Then, parallel adaptive convolutional neural networks (ACNN) are used to process the training set and extract spatial domain local features from the vibration signal; Then, the features extracted from the two branches are weighted and fused through a dynamic weight adjustment mechanism, and the fused features are input into the CFOA-BiLSTM network to further capture the time-dependent features of the signal; Finally, the extracted features are input into the classifier to complete model training, and the model performance is evaluated using a test set. Experimental verification shows that on the dataset of Southeast University, the diagnostic accuracy of the ADLM model reached 98.52 %, demonstrating good reliability, robustness, and superiority in the diagnosis of rolling bearing faults. Extrica 2025-08-19T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24962 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 957-977. 1392-8716 2538-8460 en Copyright © 2025 Ruijun Zhang, et al.

oai:jvejournals.com:article/jve.24913 2025-09-30T09:08:02Z jve

Dual-stator ultrasonic motor achieving 2-DOF linear and rotary motion with single-phase excitation Wang, Le Yu, Hang Wang, Xin Fei, Senjie Chen, Si Vibration control, generation and harvesting ultrasonic motor, two-DOF motion, piezoelectric actuator, dual stator This study proposes a novel dual-stator linear-rotary ultrasonic motor. The piezoelectric ceramic excites both out-of-plane and in-plane vibration modes within the stator. These distinct vibration modes independently drive the slider (rotor), generating reciprocating linear and rotational motions, respectively. Finite element analysis and laser vibrometer-based vibration testing validated the motor's operational principle. The close agreement between simulated and measured resonant frequencies for both vibration modes, with mere discrepancies of 3 % and 4 %, respectively, underscores the accuracy of the stator’s vibrational characteristics. Subsequently, two stators are fabricated and assembled to the ultrasonic motor prototype. Experimental results demonstrate the motor’s impressive performance, achieving a maximum linear velocity of 265 mm/s and a peak rotational speed of 1600 rpm. Furthermore, the motor delivers a maximum thrust force of 0.18 N and a stalling torque of 1.8 mN·m. Extrica 2025-08-19T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24913 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 1045-1059. 1392-8716 2538-8460 en Copyright © 2025 Le Wang, et al.

oai:jvejournals.com:article/jve.24733 2025-09-30T09:08:02Z jve

Study on the compaction and dynamic properties of loess enhanced by waste tyre rubber particles Hu, Shao-Jun Bai, Jian-Guang Kou, Wen-Qi Li, Hai-Jun Zhang, Yan Seismic engineering and applications rubber particles, loess, dynamic properties, compactness, dynamic shear modulus, damping ratio This study investigates the compaction and dynamic properties of rubber particle-loess from Inner Mongolia through laboratory tests, including compaction tests and dynamic triaxial tests. Four rubber particle sizes (10 mesh, 20 mesh, 40 mesh, and 100 mesh) and four contents (5 %, 10 %, 15 %, and 20 % by volume) were tested under varying conditions: confining pressures of 50 kPa, 100 kPa, and 200 kPa, and freeze-thaw cycles of 0, 1, 3, 6, and 9. The tests aimed to simulate environmental conditions relevant to infrastructure in Inner Mongolia's loess regions. Results revel that adding 5 % 40-mesh rubber particles maximized dynamic shear modulus, damping ratio, and compactness. The dynamic shear modulus exhibited strain-softening behavior, which decreased with increasing dynamic strain, rubber content, and freeze-thaw cycles, but increased with confining pressure. The damping ratio showed a non-linear relationship with moisture content, showing a minimum at optimum moisture and increasing with freeze-thaw cycles while decreasing with confining pressure. Notably, the damping ratio of rubber particle-loess consistently exceeded that of plain soil. These results highlight the potential of waste tire rubber particles as an eco-friendly material to enhance loess engineering properties, particularly in cold regions with significant freeze-thaw effects. The study provides a theoretical basis for improving loess stability and seismic performance in geotechnical applications. Extrica 2025-08-24T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24733 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 1060-1074. 1392-8716 2538-8460 en Copyright © 2025 Shao-Jun Hu, et al.

oai:jvejournals.com:article/jve.24404 2025-09-30T09:08:02Z jve

A k-kNN miscalibrated current transformer identification method based on line topology for distribution networks Xie, Huiqin Zeng, Xiujuan Liu, Tong Wu, Wei Peng, Yiyi Dynamics and oscillations in electrical and electronics engineering distribution networks, current transformers; kernel k-nearest neighbor, multiple linear regression, line topology The operational duration and environmental factors associated with current transformers (CTs) in distribution networks makes them prone to measurement miscalibration during their operation. To address this, a kernel k-nearest neighbor (k-kNN) miscalibrated CT identification method based on line topology is proposed. This method relies on the composite characteristics of load currents specific to certain line topologies. High-precision secondary-side CT current data provided by the current acquisition devices in the feeder area are used to construct a multiple linear regression model. The multiple linear regression model is established in the complex domain, and indirectly assesses the measurement status of the current transformers by analyzing the complex coefficients. Building upon the kNN identification algorithm, a kernel function is introduced to map low-dimensional distance feature vectors into a higher-dimensional feature space where linear separability is significantly enhanced, thus improving the accuracy with which abnormal coefficients can be detected in the multiple linear regression model. Experimental simulations and field application scenarios demonstrate that the proposed method significantly outperforms traditional kNN algorithms in terms of classification performance. Specifically, there is an increase of 12.0 % in the F1 score, a rise of 13.3 % in accuracy, and an improvement of 12.0 % in recall. Moreover, in practical engineering applications, the recognition metrics consistently exceed 93 %, which substantiates the effectiveness of the proposed miscalibrated CT identification method. Extrica 2025-08-24T00:00:00Z Research article https://doi.org/10.21595/jve.2024.24404 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 1088-1104. 1392-8716 2538-8460 en Copyright © 2025 Huiqin Xie, et al.

oai:jvejournals.com:article/jve.24627 2025-09-30T09:08:02Z jve

A new self-adaptive anti-galloping device in suppressing conductor galloping in transmission lines Li, Wenbin Wang, Yong Feng, Yanting Liu, Huidi Jiang, Wenqiang Vibration control, generation and harvesting transmission lines, conductor galloping, adaptive anti-galloping, protection device Conductor galloping is a serious threat to transmission line integrity, inducing excessive conductor tension that may lead to catastrophic failures including conductor breakage and tower collapse. This study proposes a novel self-adaptive anti-galloping device (SAGD) to mitigate galloping amplitudes and reduce associated risks. In this paper a novel self-adaptive anti-galloping device (SAGD) to mitigate galloping amplitudes and reduce associated risks was proposed. The structural design scheme of the device is provided, and its operation sequence was verified through static loading experiments. Conductor free-falling experiments validated the SAGD's vibration control performance, with test results demonstrating its practical applicability for transmission line protection. A finite element model for the conductor-SAGD system was developed, enabling numerical simulation of galloping displacement time history and analysis of endpoint support reaction dynamics. The device's galloping suppression effectiveness is systematically evaluated under varying stroke lengths and threshold conditions. Extrica 2025-09-13T00:00:00Z Research article https://doi.org/10.21595/jve.2025.24627 Journal of Vibroengineering, Vol. 27, Issue 6, 2025, p. 1028-1044. 1392-8716 2538-8460 en Copyright © 2025 Wenbin Li, et al. |||oai_dc|0|2026-08-22T17:55:40Z