2026-06-20T20:00:19Z 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/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:jvejournals.com:article/vp.25178 2025-10-06T21:50:12Z vp

Analysis and synthesis of a controllable crank-slider mechanism with parallel springs for frame saws Korendiy, Vitaliy Pasika, Viacheslav Kyrychuk, Vladyslav Vasyliv, Bogdan Hashchuk, Petro Zakhara, Ihor Mechanical vibrations and applications crank-slider mechanism, dynamic balancing, inertia forces, kinematic synthesis, variable-length crank, cam mechanism, law of motion, pressure angle Frame saws suffer from large unbalanced inertia forces, limiting operating speed and requiring heavy construction. This study aims to overcome these limitations by synthesizing a dynamically balanced main drive mechanism using a novel approach based on prescribed motion laws. The methodology involves proposing a crank-slider mechanism featuring a cam-actuated variable-length crank. The mechanism configuration with parallel spring is analyzed allowing for balancing inertia forces, achieved using a prescribed cosine slider motion law. For the considered configuration, the required variable crank length function (cam profile) and associated mechanism parameters (connecting rod length, spring stiffness) are analytically synthesized. The results of the carried-out numerical modeling demonstrate successful synthesis of a near-circular cam profile and very low pressure angles for the case studied. These findings show that synthesizing the saw drive kinematics based on force balancing requirements can theoretically eliminate inertial loads, offering the potential for higher speeds of saw frames and reduced loads. The synthesized near-circular cam profile suggests a pathway towards simpler manufacturing. The implications of successfully implementing such dynamically balanced frame saw mechanisms are potentially transformative for the sawmilling industry. Eliminating the primary inertial forces removes the major obstacle to increasing operating speeds. This could allow frame saws to operate closer to the optimal cutting speeds for wood (e.g., 40-50 m/s), leading to significant gains in productivity. Extrica 2025-09-30T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25178 Vibroengineering Procedia, Vol. 59, 2025, p. 41-49. 2345-0533 2538-8479 en Copyright © 2025 Vitaliy Korendiy, et al.

oai:jvejournals.com:article/vp.25078 2025-10-06T21:50:12Z vp

Establishing the natural frequency of oscillations of a continuous system with a concentrated mass in aviation and manufacturing engineering Kishka, Ihor Lanets, Oleksii Maistruk, Pavlo Derevenko, Iryna Nazar, Ihor Khomych, Ivan Mechanical vibrations and applications mechanical oscillating system, body with distributed parameters, beam, working body, vibrating conveyor, inertial exciter The uneven transportation of products in the working bodies (trays) of one-mass vibrating conveyors with inertial exciters prompted the conduct of a study aimed at establishing the natural frequency of oscillations of a continuous system, namely, a long-dimensional body with distributed parameters in the form of a beam with a rigidly fixed concentrated mass. Using the Krylov-Duncan functions, the differential equation of movement of the beam was solved, taking into account the concentrated mass and the boundary conditions at its ends. The system of equations made it possible to analytically establish the natural frequency of such a continuous system. This approach was tested to establish the natural oscillation frequency of a glider, demonstrating its versatility for use in various industries. An analysis of the obtained results was carried out, and conclusions were drawn. Extrica 2025-09-30T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25078 Vibroengineering Procedia, Vol. 59, 2025, p. 50-57. 2345-0533 2538-8479 en Copyright © 2025 Ihor Kishka, et al.

oai:jvejournals.com:article/vp.25089 2025-10-06T21:50:12Z vp

Design peculiarities and kinematic analysis of a shaking conveyor with multiple transporting and screening trays Korendiy, Vitaliy Kachur, Oleksandr Vilchynskyi, Taras Yaniv, Oleksandr Pelo, Roman Hrevtsov, Serhii Mechanical vibrations and applications mathematical model, motion profiles, optimization, coupled motion, vibratory equipment, velocity, acceleration, inertial loads, linkage mechanism, numerical modeling The paper focuses on the design peculiarities and kinematic analysis of a novel shaking conveyor equipped with three interconnected transporting and screening trays. The goal is to develop a comprehensive mathematical model to describe the system’s motion and analyze the interplay between the trays, providing a basis for improved design and optimization. The scientific novelty lies in the detailed kinematic study of this specific multi-tray configuration, particularly the interaction of the dual beam systems actuating the intermediate tray, leading to complex coupled motion profiles. The practical value of the research is substantial for designing and optimizing such multi-functional vibratory equipment, as the kinematic data (displacements, velocities, accelerations) provide critical insights into material-tray interaction, aiding in predicting and enhancing material processing efficiency, estimating inertial loads for robust structural design, and informing vibration isolation strategies. The methods employed include the development of a kinematic diagram and corresponding motion equations for the multi-loop linkage mechanism, followed by numerical modeling of the system’s motion using Wolfram Mathematica software. The main results characterize the complex motion profiles for a steady-state operational frequency of 10 Hz, revealing distinct amplitudes and near-linear inclined trajectories for key hinges representing each tray. Notably, the upper tray exhibited the most significant displacements and accelerations, with horizontal accelerations reaching approximately 3 g and vertical accelerations around 1.3 g, indicating a motion profile conducive to effective material lifting, “throwing”, and bed stratification. Scopes of further research include a complete dynamic analysis incorporating mass properties and driving forces, experimental validation of the models, optimization of geometric and operational parameters, integration with Discrete Element Method (DEM) simulations for detailed material flow analysis, and investigations into wear, fatigue life, and advanced control strategies. Extrica 2025-09-30T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25089 Vibroengineering Procedia, Vol. 59, 2025, p. 58-69. 2345-0533 2538-8479 en Copyright © 2025 Vitaliy Korendiy, et al.

oai:jvejournals.com:article/vp.25248 2025-10-06T21:50:12Z vp

Mathematical modeling of the rotating drum granular fill flow oscillatory stability Deineka, Katerina Naumenko, Yurii Mechanical vibrations and applications drum-type machine, intra-chamber filling, polygranular flow, flow stability, dilatancy, damping effect, bifurcavtion rotation speed, self-excitation of auto-oscillations Drum-type machines have become widely used in many industries for processing various granular materials. An innovative direction for significantly increasing the energy efficiency of such equipment is the use of self-oscillating working processes. Self-excitation of auto-oscillations allows you to bring into pulsating flow and activate the passive part of the intra-chamber filling and significantly enhance the interaction of granular particles with each other and with the surrounding environment. The purpose of the study is to build a mathematical model of the conditions and factors of oscillatory instability of the flow of polydisperse granular filling in the chamber of a rotating drum. The research methodology includes analytical modeling of wave processes and experimental modeling of manifestations of instability of the filling flow. The inertial mode of flow of the active part of the filling in a shear flow state is analyzed, the behavior of which is described using averaged values. Based on the results obtained, an increase in instability with an increase in the dilatancy of the medium during deformation is established and the destabilizing effect of the damping action of the fine fraction on the interaction of particles of the coarse fraction is revealed. The main scientific novelty of this study is the identification of the regularities of the unsteady motion of the oscillatory system of a filled drum. The study confirms the possibility of generating, under certain conditions, self-excitation of auto-oscillations of the intra-chamber filling, which is a decisive factor in the predicted intensification of the technological process. The results obtained are valuable for researchers and engineers involved in the study and design of innovative energy-efficient working processes of drum machines. Extrica 2025-09-30T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25248 Vibroengineering Procedia, Vol. 59, 2025, p. 70-81. 2345-0533 2538-8479 en Copyright © 2025 Katerina Deineka, et al.

oai:jvejournals.com:article/vp.25030 2025-10-06T21:50:12Z vp

Identification and analysis of pavement structure features based on vibration behavior parameters Chen, Weili Vibration in transportation engineering vibration, pavement, structure, characterization To clarify the correlation between the service performance of asphalt pavement structures and their vibration behavior parameters, this study focuses on asphalt pavement structures as the primary research subject. A quarter-vehicle two-degree-of-freedom model of a standard vehicle was selected as the simplified vehicle dynamics model, while a semi-rigid asphalt pavement was adopted as the simplified pavement model. Based on the elastic layered system theory, a three-dimensional finite element model of the asphalt pavement was constructed by using the software of Abaqus. The effects of modulus variations in asphalt pavement structural layers on modal frequencies were analyzed. The impacts of coupled working conditions, such as structural layer cracking positions and interlayer failure, on the modal frequencies of asphalt pavement were investigated. Additionally, the attenuation process of dynamic responses in asphalt pavement structures under transient impact loads was examined. Building on this, the dynamic response behaviors of asphalt pavement structures under working conditions including structural layer cracking and interlayer failure were studied. The results demonstrate that as the vertical depth of the asphalt pavement structure increases, the modulus attenuation of structural layers significantly affects the overall modal frequencies and vibrational effects. When internal cracking and interlayer failure coexist in the asphalt pavement structure, the vibration acceleration characteristics under load align more closely with those of interlayer failure, while the vibration displacement exhibits greater magnitudes. Extrica 2025-09-30T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25030 Vibroengineering Procedia, Vol. 59, 2025, p. 147-152. 2345-0533 2538-8479 en Copyright © 2025 Weili Chen.

oai:jvejournals.com:article/vp.25031 2025-10-06T21:50:12Z vp

Design and verification of a new type of hydraulic vibration isolator for high-speed train floors Wang, Xinying Guo, Jianqiang Lv, Cunxi Wang, Shuang Hu, Yan Vibration in transportation engineering high-speed train, floor vibration isolator, finite element analysis, experimental verification, NVH performance With the development of high-speed trains, the requirements for noise, vibration, and comfort are becoming increasingly stringent. The train body floor, as one of the main pathways for vibration transmission, is crucial to be treated for vibration reduction and noise attenuation. This paper, in response to this demand, has developed a new type of floor vibration isolator specifically for high-speed trains. Through finite element simulation analysis and experimental verification, it has been proven that this vibration isolator can effectively reduce the vibration of the train body floor and significantly enhance the NVH (Noise, Vibration, and Harshness) performance of the train. Extrica 2025-09-30T00:00:00Z Research article https://doi.org/10.21595/vp.2025.25031 Vibroengineering Procedia, Vol. 59, 2025, p. 153-158. 2345-0533 2538-8479 en Copyright © 2025 Xinying Wang, et al.

oai:jvejournals.com:article/marc.24908 2025-12-31T12:38:08Z marc

Multi-stage quantitative risk assessment of a critical system in mining industry More, Sagar Milne, William Tuladhar, Rabin engineering asset management, mining industry, criticality, quantitative risk assessment, failure rate, downtime, maintenance cost Engineering Asset Management (EAM) is a strategic approach focused on the optimal management of physical assets throughout their lifecycle. By integrating engineering principles with financial and operational strategies, EAM aims to enhance asset performance, reliability, and longevity while minimizing risks and costs. This holistic methodology ensures that machinery, equipment, and infrastructure operate efficiently, thereby reducing failures and maximizing productivity. A critical component of EAM is understanding the criticality of each asset within a system. Criticality analysis evaluates the potential impact of different failure modes, considering factors such as failure likelihood, consequences, system interdependencies, cost implications, and associated risks. This analysis is essential for prioritizing maintenance efforts and allocating resources effectively. Risk assessment plays a pivotal role in this context, involving the systematic identification, analysis, evaluation, and management of potential risks associated with asset failures. However, traditional risk assessment methods often face challenges due to subjectivity and variability in evaluations, which can lead to inconsistencies in maintenance decision-making. To address these challenges, this paper proposes a novel multi-stage quantitative Failure Modes, Effects, and Criticality Analysis (FMECA) framework. This approach systematically analyses failure rates, downtime, and cost implications, providing a comprehensive understanding of each failure mode's impact. By integrating these quantitative parameters, the framework enhances objectivity in risk assessment and supports more informed decision-making. It enables organisations to systematically prioritize maintenance activities and optimize resource allocation. This approach not only mitigates operational risks but also aligns asset management practices with overarching business objectives, leading to improved efficiency and reduced costs. The proposed methodology is particularly beneficial in industries such as mining, manufacturing, and aerospace, where unplanned downtime and maintenance costs can have significant operational and financial repercussions. By adopting this multi-dimensional approach, organizations can improve asset performance, enhance safety, and achieve more sustainable operations. Extrica 2025-07-19T00:00:00Z Research article https://doi.org/10.21595/marc.2025.24908 Maintenance, Reliability and Condition Monitoring, Vol. 5, Issue 2, 2025, p. 172-195. 2669-2961 en Copyright © 2025 Sagar More, et al.

oai:jvejournals.com:article/marc.25211 2025-12-31T12:38:08Z marc

Criticality mapping of a system in the mining industry using Bayesian network More, Sagar Tuladhar, Rabin Das, Sourav Milne, William maintenance decision-making, Bayesian network, downtime analysis, criticality assessment, probabilistic framework Effective evaluation of equipment criticality is a key concern in Engineering Asset Management, particularly in operationally intensive industries such as mining. While the concept of criticality is often subjective, it can be assessed more objectively using quantifiable indicators such as cost, downtime, and failure rate. This paper presents a data-driven approach to assess equipment-level criticality by analysing the impact of individual equipment downtimes on overall system performance. Focusing on a case study from a gold mining operation in Australia, the study demonstrates how equipment-level performance can be used to prioritise maintenance efforts and support more informed decision-making. One of the key contributions of this work lies in its integration of statistical modelling and probabilistic analysis to identify critical equipment within a system. Unlike conventional methods that often overlook uncertainty or assume uniform equipment influence, this approach quantifies the impact of individual equipment failures on system-level outcomes. The analysis treats subsystems independently, acknowledging the absence of interdependency data while still capturing meaningful insights about their relative importance. By leveraging a combination of platforms – Excel for data preprocessing, R for simulation, and Netica for network-based evaluation – the study offers a replicable and scalable methodology for criticality assessment. Sensitivity analysis within the Bayesian Network model further enhances the framework by highlighting components with the highest influence on system reliability. The outcome is a transparent, objective, and practically applicable tool for maintenance prioritisation, offering significant value in data-intensive and reliability-critical environments like mining. This paper contributes to the growing body of research focused on integrating operational data with advanced modelling techniques to improve asset performance management. Extrica 2025-12-18T00:00:00Z Research article https://doi.org/10.21595/marc.2025.25211 Maintenance, Reliability and Condition Monitoring, Vol. 5, Issue 2, 2025, p. 109-128. 2669-2961 en Copyright © 2025 Sagar More, et al.

oai:jvejournals.com:article/marc.24894 2025-12-31T12:38:08Z marc

Advancing industrial gas turbine field performance testing: a review of procedures and key considerations with emerging technologies Agbadede, Roupa Kainga, Biweri artificial intelligence, digital twins, gas turbine performance test, test procedures This review explores the possibility of enhancing the efficiency and accuracy of Industrial Gas turbine Performance testing by critically assessing the traditional methods, their limitations, and how modern technologies can be used to complement the existing traditional testing approaches, optimize data acquisition, and predict operational failures. A systematic and comprehensive search strategy was employed to identify relevant academic and industry literature. Studies on traditional testing practices were reviewed to highlight their constraints, while researches involving the application of emerging technologies for performance diagnostics were also reviewed to illustrate their benefits. Findings show that measured data such as turbine inlet temperature, compressor pressure ratio, exhaust temperature, fuel flow, shaft speed, and vibration remain essential for both traditional and AI-enhanced methods. These parameters, typically obtained through standardized testing procedures, provide the foundational input for AI models such as machine learning algorithms and digital twins. The study revealed that AI technologies thrive in data-rich, repeatable environments by enhancing processes like instrumentation, data logging, and normalization. The study also revealed that machine learning, deep learning, artificial neural networks, and digital twins can be used for more effective planning, reduce redundant testing, and mitigate delays caused by variable factors like weather or load conditions. Extrica 2025-12-20T00:00:00Z Review article https://doi.org/10.21595/marc.2025.24894 Maintenance, Reliability and Condition Monitoring, Vol. 5, Issue 2, 2025, p. 129-143. 2669-2961 en Copyright © 2025 Roupa Agbadede, et al.

oai:jvejournals.com:article/jve.25827 2026-05-16T13:40:10Z jve

Penetration mechanism of CPT probe in the dense sand assisted by ultrasonic vibration Wu, Faquan Shen, Zhehong Zhang, Fang Liu, Bolong Li, Yuanlong Wu, Jie Chen, Zhong Qing Lang, Yuqi Zhu, Zihao Xu, Enjie Chen, Weihong Xu, Zhongli Mechanical vibrations and applications CPT, ultrasonic vibration, particle breakage, penetration load The cone penetration test (CPT) is widely used because of its minimal soil disturbance, simplicity, low-cost and dual functionality for exploration and testing. However, conventional CPT technology encounters significant difficulty in dense sands, which limits its applicability. To address this challenges, a novel ultrasonic-assisted CPT probe was developed based on an ultrasonic-vibration drilling technique, a series of penetration tests were performed in sand with relative densities (Dr) ranging from 30 % to 90 % to quantify the effects of Dr and ultrasonic vibration on penetration resistance and particle breakage. Besides, the particle breakage mechanism of sand and interaction between probe and sand under ultrasonic vibration were revealed. The results showed that the penetration load increases with Dr. Ultrasonic vibration effectively reduced the penetration load, however, the reduction decreased from 60 % to 18 % as Dr increased from 30 % to 90 %. As Dr increases, particle breakage around the cone tip becomes more pronounced, with a higher breakage rate closer to the cone tip. Under the ultrasonic-static coupling, particle breakage was mainly caused by ultra-high-frequency impacts between particles and the cone tip, particles collided with each other, vertical and shear stress around the probe, The stress state of the sand and soil around the ultrasonic CPT probe was divided into five regions. This study introduces a novel ultrasonic vibration CPT probe, quantifies its penetration benefits in the dense sand, and reveals the particle breakage mechanisms under the ultrasonic-static coupling. The investigation will provide insights for applications of CPT in dense sands. Extrica 2026-02-15T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25827 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 471-494. 1392-8716 2538-8460 en Copyright © 2026 Faquan Wu, et al.

oai:jvejournals.com:article/jve.25314 2026-05-16T13:40:10Z jve

Lightweight rolling bearing fault diagnosis via dense connectivity and adaptive soft thresholding Wang, Yanqi Zhang, Songlin Ding, Ruming Luo, Cheng Zhong, Letian Fault diagnosis based on vibration signal analysis bearing fault diagnosis, SE-SDCTNet, sparse dense compact thresholding block, squeeze-and-excitation block, dilated convolution, lightweight model Deep learning-based fault diagnosis of rolling bearings is frequently challenged by strong ambient noise in vibration signals and the high computational cost of deployable models. While deeper networks can enhance performance, they often lead to parameter redundancy and information loss in deep layers, hindering industrial application. To achieve a balance between noise robustness and model lightweightness, this paper proposes SE-SDCTNet, a novel architecture built upon Sparse Dense Compact Thresholding (SDCT) blocks and Squeeze-and-Excitation (SE) blocks. The SDCT blocks employ dense connections for efficient feature reuse, while incorporating sparsity constraints and an integrated soft-thresholding mechanism to actively suppress noise and reduce parameters. Subsequently, SE blocks adaptively recalibrate channel-wise features to compensate for potential information loss due to sparsity and to enhance discriminative power. Furthermore, dilated convolutions are embedded to preserve multi-scale contextual information throughout the network. Evaluated on the Case Western Reserve University (CWRU) bearing dataset, SE-SDCTNet demonstrates superior diagnostic accuracy (e.g., 93.1 % under severe 2 dB noise) and robustness across various signal-to-noise ratios, while containing only 0.32 million parameters, merely about 3 % of ResNet18. In summary, this work provides a lightweight, accurate, and robust solution that facilitates the transition of data-driven fault diagnosis from theoretical research to practical industrial deployment. Extrica 2026-02-24T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25314 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 581-598. 1392-8716 2538-8460 en Copyright © 2026 Yanqi Wang, et al.

oai:jvejournals.com:article/jve.25828 2026-05-16T13:40:10Z jve

A LabVIEW-based fault diagnosis system for offshore wind turbine planetary gearboxes Shaohua, Dong Junhui, Zhang Fault diagnosis based on vibration signal analysis offshore wind turbine, gearbox, labview, fault diagnosis, signal processing, diagnostic parameters The rapid expansion of offshore wind energy underscores the critical need for reliable gearbox monitoring, especially for failure-prone planetary gearboxes in harsh marine environments. To address this, we propose two novel, physics-informed diagnostic parameters: the Filtered Root Mean Square (FRMS) and the Normalized Summation of the positive amplitudes of the Difference Spectrum (NSDS). These parameters enhance fault detection by isolating fault-related vibrations from healthy gearbox modulation. Furthermore, an integrated, real-time diagnosis system implementing these parameters is developed using LabVIEW. Experimental validation on a dedicated test bench demonstrates the system's effectiveness, achieving a diagnostic accuracy of 95.4 % and outperforming traditional methods. This work provides a practical and efficient solution for condition monitoring of offshore wind turbine gearboxes. Extrica 2026-02-27T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25828 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 599-616. 1392-8716 2538-8460 en Copyright © 2026 Dong Shaohua, et al.

oai:jvejournals.com:article/jve.25931 2026-05-16T13:40:10Z jve

Fault diagnosis of rolling bearings based on amplitude modulation of local W transform spectrum Ma, Zongcai Chen, Yongqi Dai, Qinge Wu, Linqiang Qin, Yitong Fault diagnosis based on vibration signal analysis spectral amplitude modulation, time-frequency analysis, residual signal, rolling bearing, fault diagnosis As one of the key components of transmission and support in rotating machinery, rolling bearings will directly affect the operating status of the equipment. Therefore, scholars have proposed various methods to process its fault signals. Among them, spectral amplitude modulation (SAM) is a nonlinear filtering method that can effectively extract bearing fault characteristics. However, due to the high-intensity noise interference in the working environment of the equipment, the interference component dominates the monitoring signal, and the fault characteristics are no longer obvious or even undetectable. To solve the above problems, this paper proposes a local W transform spectral amplitude (LWTSAM) modulation method. First, the method divides the original signal into multiple narrowband signals in different frequency bands and selects the narrowband signal with the most abundant fault information among them; then, the selected narrowband signal uses a windowed Fourier transform (WFT) to obtain the amplitude in the time-frequency domain, and uses different weight indices (MO) to correct the amplitude; Finally, the modified amplitude is combined with its original phase to perform inverse window Fourier transform to obtain the modified signal and its square envelope, and the square envelope under the optimal weight is calculated using unbiased autocorrelation and information entropy to complete the local W transform spectrum amplitude modulation. In this paper, this method is verified through fault data sets. The research results show that this method can effectively reduce the interference of noise on fault diagnosis, and the fault characteristic information obtained is clearer. Compared with SAM method, Autogram method and fast spectral kurtosis diagram method, the superiority of this method is proved. Extrica 2026-02-28T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25931 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 514-542. 1392-8716 2538-8460 en Copyright © 2026 Zongcai Ma, et al.

oai:jvejournals.com:article/jve.25227 2026-05-16T13:40:10Z jve

Research on integrated motion and vibration control methods for heated nozzles in space additive manufacturing equipment Yang, Yuchen Fang, Yubin Vibration control, generation and harvesting space-based additive manufacturing, delta-type FDM, FXLMS algorithm, adaptive vibration suppression, thermal nozzle In microgravity and disturbance-rich orbital environments, the thermal nozzle of Delta-type space-based fused deposition modeling (FDM) systems is prone to trajectory deviations and vibration-induced defects, which can severely degrade the surface quality and mechanical integrity of printed parts. To address this problem, an integrated motion-vibration control strategy is proposed. The motion loop employs a classical PID controller for accurate trajectory tracking, whereas the vibration loop adopts a Filtered-X Least Mean Square (FXLMS) algorithm with a nonlinear variable step-size scheme jointly modulated by exponential decay and sinusoidal functions. The proposed step-size mechanism improves convergence behavior and robustness under time-varying disturbances by enabling fast initial adaptation while maintaining stable steady-state performance. A high-fidelity ADAMS-Simulink co-simulation platform is developed for comparative evaluation. The results show that the proposed strategy reduces micro-vibration amplitudes, improves tracking accuracy, and provides stronger robustness than fixed-step adaptive approaches, thereby offering an effective solution for high-precision space-based additive manufacturing. Extrica 2026-03-03T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25227 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 637-659. 1392-8716 2538-8460 en Copyright © 2026 Yuchen Yang, et al.

oai:jvejournals.com:article/jve.25786 2026-05-16T13:40:10Z jve

Global bifurcation and circuit simulation of a soft-impacting system Shi, Yuqing He, Longfei Chaos, nonlinear dynamics and applications clearance, periodic motion, bifurcation, Multisim 14.0, equivalent circuit Considering that the dynamic analysis of mechanical systems with clearance needs to compile complex calculation programs, and high-precision numerical simulation is limited by computer performance. Dynamics of a two-degree-of-freedom system with soft impact are revealed from the perspective of equivalent circuit simulation in this paper. By using bifurcation diagrams and phase diagrams based on Poincaré mapping, as well as Lyapunov exponents, the mechanism of single-period multi-impact 1-p-p motion and chattering impact under low-frequency conditions was revealed. In the MultiSim14.0 environment, a circuit diagram equivalent to the mathematical model of the system is designed by using the addition circuit, integration circuit, and inverter circuit composed of operational amplifiers, resistors, and capacitors. The nonlinear module is realized by the saturation characteristics of the operational amplifier. It is found that the output waveform of the virtual oscilloscope has a very good agreement with that obtained from the numerical simulation. Equivalent circuit test method not only has fast operation speed and less time consumption, but also can realize real-time dynamic adjustment of parameters, which provides a reference method for the dynamic research of mechanical system with clearance. Extrica 2026-03-03T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25786 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 720-737. 1392-8716 2538-8460 en Copyright © 2026 Yuqing Shi, et al.

oai:jvejournals.com:article/jve.25596 2026-05-16T13:40:10Z jve

Study on the design and structural optimization of excitation blocks for vibrators Hong, Li Tian, Kewen Zhang, Qiang Chen, Ning Liu, Yize Vibration control, generation and harvesting eccentric block, sensitivity analysis, NSGA-II, energy efficiency, vibrators The performance of vibrator-based seismic sources is fundamentally constrained by the trade-off between excitation force and motor driving power. To address this challenge, a physics-informed framework for the parametric modeling and multi-objective optimization of annular-sector eccentric blocks is proposed. Firstly, a unified geometric model is established to derive closed-form expressions for mass properties, which are then integrated into a coupled electromechanical dynamic model to link geometric configurations directly with force output and power demand. To enhance computational efficiency, an Extreme-Frequency Substitution Strategy (EFSS) is introduced to reformulate the complex full-band dynamic optimization into a simplified static problem. The primary novelty of this work is the integration of physics-based geometric modeling, electromechanical dynamics, and extreme-frequency optimization within a single analytical framework. Sobol global sensitivity analysis reveals that the outer and inner radii are the dominant design drivers, while thickness and sector angle influence performance primarily through higher-order interactions. Using the NSGA-II algorithm, an optimized design is obtained that achieves a 10.52 % reduction in average peak driving power, a 35.26 % reduction in mass, and a 56.36 % reduction in the moment of inertia, while maintaining the required excitation force. This framework provides a rigorous and energy-efficient methodology for the design of next-generation controlled seismic vibrators. Extrica 2026-03-05T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25596 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 617-636. 1392-8716 2538-8460 en Copyright © 2026 Li Hong, et al.

oai:jvejournals.com:article/jve.25413 2026-05-16T13:40:10Z jve

Case study on the assessment of sound barrier performance for traffic noise reduction Anachkova, Maja Domazetovska Markovska, Simona Shishkovski, Dejan Pecioski, Damjan Angjusheva Ignjatovska, Anastasija Acoustics, noise control and engineering applications noise control, noise barriers, traffic noise, ISO 10847 Noise is considered a major environmental problem in urban areas, which in recent years has seriously affected people’s health and quality of life. One of the most important solutions for noise mitigation, especially for traffic noise, is the installation of noise barriers. In this paper, an assessment of the acoustic performance of noise barriers in the city of Skopje is presented. The methodology proposes using the ISO 10847:1997 indirect method (measurement technique for determining the insertion loss of a noise barrier).The experimental results from the conducted in-situ measurements have proven that the existing noise barriers, even though with different characteristics, achieve notable insertion loss across the entire noise frequency range, with significant reductions of over 10 dB in the dominant traffic noise frequency band. The research insights confirm that the noise barriers provide an effective solution for traffic noise control, but their advantage is limited against low-frequency noise components and urban noise coming from combined (human made or natural) noise sources. The results provided in this paper fill an important research gap into the noise pollution control in the city. This research provides valuable conclusions that serve as a baseline for improving urban noise action plans and development of further noise reduction strategy in the city. Extrica 2026-04-05T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25413 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 738-753. 1392-8716 2538-8460 en Copyright © 2026 Maja Anachkova, et al.

oai:jvejournals.com:article/jve.25170 2026-05-16T13:40:10Z jve

Dynamic interaction analysis of adjacent high-rise structure systems on deep soft sites Chen, Shuping Wu, Jinwen Seismic engineering and applications soil-structure interaction, dynamic cross interaction, deep soft sites, three-dimensional The dynamic interaction of adjacent high-rise structures on deep soft soils was systematically investigated using advanced three-dimensional finite element modeling. Parametric analyses considered varying building spacings (10-40 m), foundation types, and soil stiffness values. Compared with isolated soil-structure interaction (SSI), the structure-soil-structure interaction (SSSI/DCI) scenario increased peak interstory drift ratios by up to 38 % and amplified maximum foundation displacement by 25 % for the closest building pairs. Dynamic coupling also resulted in a reduction of fundamental natural frequencies by as much as 15 %. The influence of soil flexibility was found to be critical; structures on softer soils experienced stronger interaction and greater seismic response amplification. The findings provide quantitative evidence and practical guidance for the seismic design of high-rise clusters in urban environments with deep soft ground. Extrica 2026-04-16T00:00:00Z Research article https://doi.org/10.21595/jve.2025.25170 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 690-704. 1392-8716 2538-8460 en Copyright © 2026 Shuping Chen, et al.

oai:jvejournals.com:article/jve.25897 2026-05-16T13:40:10Z jve

Research on seismic performance of high-speed railway segmental assembled round-end hollow pier with energy dissipation bar Su, Pengfei Guo, Hui Wang, Wei Li, Hao Seismic engineering and applications segmental assembled round-end hollow piers, energy dissipation bars, vibration absorption, seismic performance, earthquake motion, nonlinear numerical analysis, seismic response Segmental assembled piers have gained increasing attention in bridge engineering due to their superior construction efficiency, shortened construction periods, and reduced on-site wet work. However, their application in high-seismic-intensity regions remains limited because the mechanical performance of segment joints is generally weaker than that of conventional monolithic piers. This concern is particularly critical for high-speed railway bridges, which demand exceptional structural stability and seismic safety. To address this issue, energy dissipation bars were introduced into a segmental assembled round-end hollow pier to enhance its seismic resilience. A nonlinear finite element model was developed and validated against experimental results to ensure the reliability of the numerical approach. Based on the validated model, the effects of key design parameters of the energy dissipation bars were systematically investigated, and dynamic time-history analyses were conducted to evaluate seismic responses under different earthquake motions. The results demonstrate that increasing the sectional contribution ratio of the energy dissipation bars markedly improves the lateral resistance, energy dissipation capacity, and loading-unloading stiffness of the pier. However, this enhancement also results in larger residual drift angles, indicating a trade-off between seismic robustness and post-earthquake recoverability. Compared with the diameter and quantity of the bars, their arrangement shows a relatively limited influence on seismic performance. Moreover, the vibration mitigation effectiveness becomes increasingly significant with rising peak ground acceleration (PGA), achieving reduction rates exceeding 60 %. Nevertheless, severe plastic deformation and damage to the energy dissipation bars were observed under strong earthquakes, which indirectly amplify residual displacements. Additionally, the pier exhibits substantially stronger seismic responses under near-field ground motions than under far-field motions. In particular, near-field pulse-like earthquakes significantly amplify the pier-top displacement, suggesting that special design considerations are necessary when deploying such piers in near-fault regions. This study provides important insights into the seismic performance and design optimization of segmental assembled hollow piers for high-speed railways, offering valuable theoretical support and practical guidance for their application in seismic regions. Extrica 2026-04-16T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25897 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 671-689. 1392-8716 2538-8460 en Copyright © 2026 Pengfei Su, et al.

oai:jvejournals.com:article/jve.25431 2026-05-16T13:40:10Z jve

A CLSTM-CNN-Attention hybrid model and its application in fault diagnosis Liang, Yuanhui Zhu, Yuyu Wang, Lei Fault diagnosis based on vibration signal analysis autonomous underwater vehicles, mixed deep learning model, improved long short term memory, fault diagnosis, inference suppression Autonomous underwater vehicles (AUVs) are indispensable equipments in underwater detection, surveying, and investigation. As the main power source of AUV, the accurate and timely fault diagnosis of thruster plays key role in ensuring its safe navigation. However, this task is full of challenges due to the complication, vagueness, and randomness of underwater settings. To address the issues, a hybrid diagnosis model named CLSTM-CNN-Attention is proposed, which combines convolutional long short term memory (CLSTM), convolutional neural network (CNN) and attention mechanism. Specifically, it combines an improved hybrid network to realize the connection of long-term and short-term memory (LSTM) with CNN in parallel, which can capture the time-related and space-related fault information of input signal simultaneously. At the same time, a new linear rectification function is also introduced into the hybrid model to enhance its anti-interference capability. Finally, the diagnostic performance of the hybrid model is further improved by adding attention mechanisms, which could better focus on the fused information. Experimental and comparison results indicate that the suggested approach has remarkable interference suppression capacity and surpasses other relevant methods, demonstrating good performance in fault diagnosis of AUV thruster. Extrica 2026-04-21T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25431 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 495-513. 1392-8716 2538-8460 en Copyright © 2026 Yuanhui Liang, et al.

oai:jvejournals.com:article/jve.25232 2026-05-16T13:40:10Z jve

Experimental analysis and estimation of vibration frequency for airflow-induced vibration piezoelectric generators Zou, Huajie Cai, Fuhai Vibration control, generation and harvesting piezoelectric generator, airflow energy, vibration frequency, short resonator To address the inadequacy of existing empirical formulas for estimating the vibration frequency of small airflow-induced piezoelectric generators, this study proposes a novel method for vibration frequency estimation specifically tailored to such generators. Through experimental analysis of vibration frequencies, the current expression for vibration frequency is modified to enhance the accuracy of frequency estimation for short resonators. The results indicate that the length of the resonator is the primary influencing factor. As the length increases, the frequency decreases, demonstrating an inverse relationship. The distance between the nozzle and the resonator is regarded as a secondary factor. Although there is a slight decrease in frequency as the spacing increases, its impact remains limited. Furthermore, the discrepancy between the theoretical values derived from the modified empirical frequency formula and the experimental data does not exceed 4 %, and the coefficient of determination (R2) for the modified empirical formulation is 0.9987, highlighting its reliability as an effective method for estimating vibration frequency. These conclusions may offer guidance in designing the vibration frequency and identifying essential structural parameters. Extrica 2026-04-21T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25232 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 660-670. 1392-8716 2538-8460 en Copyright © 2026 Huajie Zou, et al.

oai:jvejournals.com:article/jve.25385 2026-05-16T13:40:10Z jve

Flow characteristics of large-scale Francis turbine during transient processes He, Xiuru Liao, Xiangbo Luo, Qianlin Zhao, Wengui An, Xueli Flow induced structural vibrations large-scale Francis turbine, computational mechanics, SST 𝑘-𝜔, flow field analysis With the continuous establishment and improvement of the new power system, higher requirements have been imposed on the operation of large-scale hydroelectric generating units, which makes the flow inside the turbine more complex. This study employed the computational fluid dynamics (CFD) method based on the SST k-ω turbulence model to numerically simulate the internal flow field of a large Francis turbine during the load reduction transition process, and coupled an acoustic model to analyze its flow-induced noise. The results show that under a constant head, as the guide vane opening decreases (load reduces), the low-pressure and low-speed zone inside the runner expands from the blade outlet to the inlet, while the blade passage vortex and draft tube vortex in the runner gradually develop, and the flow instability increases. The noise sound pressure level shows a decreasing trend with the reduction of load, but there are still significant peaks in specific frequency bands, among which 22 Hz and 100 Hz are respectively related to blade vibration and the operational characteristics of the runner. This study reveals the correlation characteristics between the internal flow and noise of the turbine during the transition process, providing a reference basis for the safe and stable operation of the unit, vibration and noise control, and the optimization of the transition process. Extrica 2026-04-28T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25385 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 705-719. 1392-8716 2538-8460 en Copyright © 2026 Xiuru He, et al.

oai:jvejournals.com:article/vp.26416 2026-06-08T23:15:14Z vp

Influence of elastic element parameters on stress distribution and reaction forces in shaft support systems of sawing cylinders Makhmudova, Shakhnoza Yuldasheva, Gulnora Azimova, Feruza Akhmedova, Dilafruz Mechanical vibrations and applications elastic support, shaft dynamics, stress analysis, reaction forces, sawing cylinder, finite element analysis, mechanical design This study investigates the effect of elastic element thickness variation in combined shaft supports on stress distribution and reaction forces in sawing cylinder systems. Two computational models were developed: (1) with elastic element thickness at support A greater than or equal to support B (A≥B), and (2) with thickness at support B greater than or equal to support A (B≥A). The analysis demonstrates that variations in elastic element thickness significantly influence stress distribution and reaction forces in the system. When the thickness at support A exceeds that at support B, shaft stresses decrease from 198×106 to 112×106 Pa, while reaction force at support B decreases from 943.24 N to 918.02 N. Conversely, when the thickness at support B exceeds that at support A, stresses increase from 8.83×106 to 183×106 Pa, with reaction force at B increasing from 899.04 N to 931.19 N. The results show that optimizing elastic element parameters can significantly reduce operational stresses in shaft support systems. Extrica 2026-06-08T00:00:00Z Research article https://doi.org/10.21595/vp.2026.26416 Vibroengineering Procedia, Vol. 62, 2026, p. 1-8. 2345-0533 2538-8479 en Copyright © 2026 Shakhnoza Makhmudova, et al.

oai:jvejournals.com:article/jve.25850 2026-05-16T13:40:10Z jve

Fault diagnosis of automotive transmission bearings based on improved CNN and transformer Huang, Zhaoming Yang, Xuhui Guo, Can Fault diagnosis based on vibration signal analysis automotive gearbox bearings, convolutional neural network, transformer model, feature extraction, fault diagnosis To address the challenges of fault feature extraction and the weak adaptability of diagnostic models for automotive gearbox bearings under complex operating conditions, this study proposes an improved intelligent diagnostic model that integrates Convolutional Neural Networks (CNN) and Transformers with a dual-stage dynamic sparse activation and three-dimensional attention mechanism. First, to overcome the limitations of traditional CNN with fixed architectures and limited perception of multi-domain fault features, a dual-stage dynamic sparse activation mechanism is designed. It enables adaptive computation path selection based on the complexity of input features. Then, to enhance the perception of multidimensional time-frequency-phase fault information, the Hilbert transform is applied to construct a three-dimensional feature tensor containing instantaneous amplitude, frequency, and phase. A 3D self-attention module is embedded to achieve multi-domain feature fusion. Finally, the proposed method is validated using experimental data collected under various gearbox bearing fault states and operating conditions. The results show that the model achieves an accuracy of 99.73 %, with precision, recall, and F1-score of 99.64 %, 99.63 %, and 99.68 %, respectively – all outperforming state-of-the-art methods such as GDS-YOLOv5s. Moreover, the model maintains stable recognition performance under noise and variable load conditions. These findings demonstrate that the proposed approach effectively captures subtle multi-domain fault features and exhibits strong adaptability and robustness, providing a reliable solution for intelligent operation and maintenance of gearbox bearings. Extrica 2026-05-15T00:00:00Z Research article https://doi.org/10.21595/jve.2026.25850 Journal of Vibroengineering, Vol. 28, Issue 3, 2026, p. 560-580. 1392-8716 2538-8460 en Copyright © 2026 Zhaoming Huang, et al.

oai:jvejournals.com:article/vp.26392 2026-06-08T23:15:14Z vp

Effect of binary microfillers on hydration kinetics and microstructure development of cement binders in seismic areas Abdullaev, Ulugbek Eshbekov, Shuxrat Zhao, Xiaokang Materials and measurements in engineering binary microgenerators, cement binder, structure formation, hydration processes, composite materials, mechanical activation, early strength, microstructure, clinker minerals This article presents the results of experimental studies binary microgenerators present a novel approach to this challenge by actively influencing the kinetics of hydration and crystallization. This study aims to investigate the specific influence of binary microgenerators, composed of mechanically and electrochemically active components, on the processes governing the structure formation of Portland cement-based binders. Cement paste and mortar samples were prepared with incremental additions of the binary microgenerator. The hydration process was monitored using isothermal calorimetry. The developing microstructure was analyzed through scanning electron microscopy (SEM) and X-ray diffraction (XRD). Mechanical performance was evaluated by testing compressive strength at 1, 3, 7 and 28 days. The incorporation of binary microgenerators significantly altered the hydration kinetics, demonstrating a pronounced acceleration of the main exothermic peak. Extrica 2026-06-08T00:00:00Z Research article https://doi.org/10.21595/vp.2026.26392 Vibroengineering Procedia, Vol. 62, 2026, p. 416-422. 2345-0533 2538-8479 en Copyright © 2026 Ulugbek Abdullaev, et al.

oai:jvejournals.com:article/vp.26393 2026-06-08T23:15:14Z vp

Effects of a binary microfiller-based superplasticizer on the workability, strength, and durability of concrete Abdullaev, Ulugbek Kaxarov, Erkin Zhao, Xiaokang Zhiyu, Wang Materials and measurements in engineering polymix and binary filler enhance concrete workability, strength, durability This article investigates the influence of a new-generation high-performance superplasticizer, developed by the Arment Construction Chemicals Company, on the properties of fresh and hardened concrete. The innovative admixture is characterized by a synergistic polymix formulation of advanced polymers, combined with a proprietary binary filler system. The primary objective of the research is to evaluate the efficacy of this composite chemical in enhancing workability, mechanical strength, and durability beyond the capabilities of conventional superplasticizers. The experimental methodology involved preparing concrete mixtures with varying dosages of the new superplasticizer, which were compared against control mixes and those containing traditional water-reducers. The fresh properties assessed included slump, slump retention over time, and setting time. For the hardened state, compressive and flexural strength tests were conducted at different curing ages, alongside an analysis of durability indicators such as water permeability and resistance to chemical attack. Extrica 2026-06-08T00:00:00Z Research article https://doi.org/10.21595/vp.2026.26393 Vibroengineering Procedia, Vol. 62, 2026, p. 423-429. 2345-0533 2538-8479 en Copyright © 2026 Ulugbek Abdullaev, et al. |||oai_dc|0|2026-06-21T20:00:19Z