5-year monitoring of the dynamic properties of a 32-story SRC structure

Hui Tian1 , Yinfeng Dong2 , Dong Li3

1, 2, 3Key Laboratory of New Technology for Construction of cities in Mountain Area (Chongqing University), Ministry of Education, Chongqing, 400045, China

1, 2, 3School of Civil Engineering, Chongqing University, Chongqing, 400045, China

1Corresponding author

Vibroengineering PROCEDIA, Vol. 33, 2020, p. 55-59. https://doi.org/10.21595/vp.2020.21711
Received 27 September 2020; accepted 13 October 2020; published 19 October 2020

47th International Conference on Vibroengineering in Timisoara, Romania, October 19-20, 2020

Copyright © 2020 Hui Tian, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract.

The dynamic properties of the structure are related to many factors, such as mass distribution, component stiffness, material properties. In addition, environmental conditions may also affect the dynamic characteristics. In this paper, the modal identification of 133 strong earthquakes recorded in a 32-story SRC building structure in Tokyo from 2013 to 2018 is performed first, and then the dynamic characteristics (natural frequency, damping ratio) are obtained. The statistical regression analysis is used to analyze the influence of environmental conditions (temperature, humidity) on the dynamic characteristics of the high-rise SRC building structure, and the change trend of its dynamic characteristics. Finally, the results of the analysis are given to provide experience and basis for the design of similar building structures.

5-year monitoring of the dynamic properties of a 32-story SRC structure

Highlights
  • This paper is mainly based on the FDD and SSI methods to obtain the dynamic characteristics of the structure, and uses relatively more stable results.
  • The fluctuation range of the natural frequency and the damping ratio is obvious, the change range of the natural frequency reaches more than 30%, and the change range of the damping ratio is larger.
  • The first three natural frequencies are more affected by temperature than relative humidity, while the corresponding first three damping ratios have the opposite result.
  • The correlation between the first three fundamental frequencies is strong, indicating that the regular trends of fundamental frequencies are more consistent.

Keywords: SRC, strong motion records, modal identification, environmental conditions, dynamic properties, influence, regression analysis.

1. Introduction

With the rapid development of high-rise buildings, dynamic detection and structural health monitoring of high-rise building structures have become important issues. The response of a structure under earthquakes is closely related to the dynamic characteristics of the structure. The natural vibration period and damping ratio are the main dynamic characteristics of the building. The dynamic characteristics of the structure are related to many factors, such as mass distribution, component stiffness, material properties [1]. In addition, environmental conditions [2] may also affect the dynamic characteristics. In this paper, firstly, the modal identification of the strong earthquake records of a 32-story SRC structure for 5 years is carried out, and the corresponding natural frequency and damping ratio are obtained. Then, through regression analysis, the impact of environmental factors (temperature, humidity) on its dynamic characteristics is revealed.

Fig. 1. a) View of the building, b) aerial view from Maps

a) View of the building, b) aerial view from Maps

a)

a) View of the building, b) aerial view from Maps

b)

Fig. 2. Strong motion records

Strong motion records

2. Modal identification

Structural modal parameter identification is the process of obtaining the natural frequency, damping ratio and mode shape of the structure by using excitation, response or only output data. In structural health monitoring, this process is time varying. Structural modal parameter identification can be divided into experimental modal identification and operational modal identification; it can also be divided into frequency domain identification and time domain identification. This paper is mainly based on the frequency domain identification method of the Frequency Domain Decomposition (FDD) method and the time domain identification method of the Stochastic Subspace Identification (SSI) method to obtain the dynamic characteristics of the structure [3]. Fig. 3 shows the typical identification results of the FDD method and SSI method.

Fig. 3. a) Singular value decomposition plot, b) typical stabilization diagram

a) Singular value decomposition plot, b) typical stabilization diagram

a)

a) Singular value decomposition plot, b) typical stabilization diagram

b)

3. Results and discussions

3.1. 5-year change of dynamic characteristics

Fig. 4 shows the natural frequencies of the first three modes obtained from 133 seismic records from 2013 to 2018 based on the SSI method or the FDD method. The natural frequencies of the first three modes are approximately 0.39 Hz, 1.21 Hz, and 2.20 Hz, and the corresponding damping ratios are 3.30 %, 2.34 %, and 1.80 %, respectively. It is obvious that the fluctuation of damping ratios is larger than natural frequencies. Fig. 5 shows the power spectrum of natural frequencies and damping ratios Vs. time, the frequency contents of the change of first three natural frequencies and damping ratios with time are generally consistent. The trend of 2 year (0.5 cycle/year), 6 months (2 cycles/year) and 3 months (4~5 cycles/year) are clearly presented.

Fig. 4. Modal parameter diagram

Modal parameter diagram
Modal parameter diagram
Modal parameter diagram
Modal parameter diagram

a) 1st mode

Modal parameter diagram

b) 2nd mode

Modal parameter diagram

c) 3rd mode

Fig. 5. Power spectrum of natural frequencies and damping ratios Vs. time

Power spectrum of natural frequencies and damping ratios Vs. time
Power spectrum of natural frequencies and damping ratios Vs. time

3.2. The influence of temperature and humidity on dynamic characteristics

In general, according to Fig. 6 and 7, environmental conditions have a slight influence on the first three natural frequencies and damping ratios of the 32-story SRC building, especially the third natural frequency. The first three natural frequencies are more affected by temperature than relative humidity, while the corresponding first three damping ratios have the opposite result. The relevant data on the environmental conditions used here is obtained from website of Japan Meteorological Agency (http://www.jma.go.jp/jma/index.html).

3.3. Correlation analysis

The correlation coefficients between the natural frequencies f1, f2, and f3 are 0.8394, 0.7894, 0.7810, respectively. Table 1 and Fig. 8 also show the strong correlation between the natural frequencies. The correlation between natural frequency and damping ratio and environmental factors is not obvious, which is consistent with the small slope in Figs. 6 and 7.

Fig. 6. The influence of temperature on natural frequency and damping ratio

The influence of temperature on natural frequency and damping ratio
The influence of temperature on natural frequency and damping ratio
The influence of temperature on natural frequency and damping ratio
The influence of temperature on natural frequency and damping ratio

a) 1st mode

The influence of temperature on natural frequency and damping ratio

b) 2nd mode

The influence of temperature on natural frequency and damping ratio

c) 3rd mode

Fig. 7. The influence of relative humidity on dynamic characteristics

The influence of relative humidity on dynamic characteristics
The influence of relative humidity on dynamic characteristics
The influence of relative humidity on dynamic characteristics
The influence of relative humidity on dynamic characteristics

a) 1st mode

The influence of relative humidity on dynamic characteristics

b) 2nd mode

The influence of relative humidity on dynamic characteristics

c) 3rd mode

Fig. 8. Correlation between natural frequencies

Correlation between natural frequencies

a)f1f2

Correlation between natural frequencies

b)f1f3

Correlation between natural frequencies

c)f2f3

Table 1. Correlation coefficient

f1
ς1
f2
ς2
f3
ς3
T
H
f1
1.0000
ς1
0.4714
1.0000
f2
0.8394
0.4034
1.0000
ς2
0.1883
0.0659
0.1817
1.0000
f3
0.7894
0.3778
0.7810
0.1884
1.0000
ς3
0.1767
0.0842
0.1267
0.0688
0.1329
1.0000
T
0.0764
0.1174
0.0606
–0.118
0.0297
–0.217
1.0000
H
0.0259
0.0862
–0.020
–0.152
0.0636
–0.078
1.0000
Where: T – Temperature, H – humidity

4. Conclusions

The dynamic characteristics of this 32-story SRC building were obtained through modal identification recorded by 133 strong motion records. We discussed the effect of temperature variations and humidity on the fundamental frequencies and modal damping ratios of the building, and the correlation between the first three natural frequencies.

1) The natural frequencies of the first three modes are approximately 0.39 Hz, 1.21 Hz, and 2.20 Hz, and the corresponding damping ratios are 3.30 %, 2.34 %, and 1.80 %, respectively. The damping ratio results of modal identification are all less than 5 %, and the higher the modal, the smaller the corresponding damping ratio. The fluctuation range of the natural frequency and the damping ratio is obvious, the change range of the natural frequency reaches more than 30 %, and the change range of the damping ratio is larger.

2) According to the results of regression analysis, environmental conditions have tiny obvious influence on the dynamic characteristics of the SRC building. The results also show that the fluctuations of the first three natural frequencies and damping ratios are caused by other factors, and temperature and humidity are not the main reasons.

3) The correlation between the first three fundamental frequencies is strong, indicating that the regular trends of fundamental frequencies are more consistent.

Acknowledgements

We thank the BRI Strong Motion Network of Japan (https://smo.kenken.go.jp/) for providing access to the data used in this study. The temperature and humidity data comes from the website of Japan Meteorological Agency (http://www.jma.go.jp/jma/index.html).

References

  1. Fei Minglun, Zhou Guangquan, Lu Yongkun, et al. Measurement and statistical analysis of environmental vibration characteristics of high (super-high) buildings in Kunming. Earthquake Research, Vol. 35, 2012, p. 117-127, (in Chinese). [Search CrossRef]
  2. Regni M., Arezzo D., Carbonari S., et al. Effect of environmental conditions on the modal response of a 10-story reinforced concrete tower. Shock and Vibration, Vol. 2018, 2018, p. 9476146. [Publisher]
  3. Brincker R., Ventura C. E., Andersen P. Damping estimation by frequency domain decomposition. IMAC: A Conference on Structural Dynamics, 2001. [Search CrossRef]
  4. Todorovska M. I., Trifunac M. D. Impulse response analysis of the Van Nuys 7-storey hotel during 11 earthquakes and earthquake damage detection. Structural Control and Health Monitoring, Vol. 15, Issue 1, 2010, p. 90-116. [Publisher]
  5. Deraemaeker A., Worden K. New Trends in Vibration Based Structural Health Monitoring. Springer-Verlag Wien, 2010. [Publisher]

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