Field measurement study on the EPSD of non-stationary buffeting response of Sutong bridge based on WT

被引:0
|
作者
Wang H. [1 ]
Xu Z.-D. [1 ]
Tao T.-Y. [1 ]
Cheng H.-Y. [1 ]
机构
[1] Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing, 210096, Jiangsu
来源
Gongcheng Lixue/Engineering Mechanics | 2016年 / 33卷 / 09期
关键词
Buffeting response; Evolutionary power spectral density; Non-stationary; Sutong bridge; Typhoon; Wavelet transform;
D O I
10.6052/j.issn.1000-4750.2015.02.0116
中图分类号
学科分类号
摘要
The wind speed of typhoon exhibits obvious non-stationary characteristics, which leads to the non-stationary features in the dynamic response of long-span cable-stayed bridges. To investigate the non-stationary characteristics existing in buffeting response of long-span bridges under the action of typhoon, Sutong Bridge is taken as the research object. Based on wavelet transform (WT), the evolutionary power spectral density (EPSD) estimation method is employed to analyze the non-stationary buffeting response of Sutong Bridge during Typhoon Haikui and Damrey. The analytical results show that the vibration energy of the girder in Sutong Bridge is predominated by specific frequencies. Due to the non-stationary features of the typhoons, the buffeting response of the main girder exhibits non-stationary characteristics to some extent as well. The wavelet-based EPSD estimation method is suitable for analyzing the evolutionary characteristics of the measured structural response, and it is a good supplement for the traditional Fourier method in non-stationary analysis. The results can be utilized to validate the reliability of the non-stationary buffeting analysis theory and provide references for the wind-resistant design of long-span cable-stayed bridges. © 2016, Engineering Mechanics Press. All right reserved.
引用
收藏
页码:164 / 170
页数:6
相关论文
共 11 条
  • [1] Wang H., Li A., Xie J., Et al., Field measurement on buffet response of Runyang suspension bridge during typhoon Wipha based on skew wind decomposition, Journal of Vibration Engineering, 22, 4, pp. 430-437, (2009)
  • [2] Chen J., Michael C.H.H., Xu Y.L., A comparative study of stationary and non-stationary wind models using field measurements, Boundary-Layer Meteorol, 122, 1, pp. 105-121, (2007)
  • [3] Hu L., Xu Y.L., Huang W.F., Typhoon-induced non-stationary buffeting response of long-span bridges in complex terrain, Engineering Structures, 57, pp. 406-415, (2013)
  • [4] Huang W., Typhoon wind field simulation and typhoon induced nonstationary buffeting response analysis of long-span bridge, (2012)
  • [5] Cao H., Lai M., Bai S., Estimation of local spectral density of earthquake ground motion based on WT, Engineering Mechanics, 21, 5, pp. 109-115, (2001)
  • [6] Spanos P.D., Failla G., Evolutionary spectra estimation using wavelets, Journal of Engineering Mechanics, 130, 8, pp. 952-960, (2004)
  • [7] Kong F., Li J., Power spectrum estimation of non-stationary processes via wavelet, Journal of Vibration Engineering, 26, 3, pp. 418-428, (2013)
  • [8] Brownjohn J.M.W., Bocciolone M., Curami A., Et al., Humber bridge full-scale measurement campaigns 1990-1991, Journal of Wind Engineering and Industrial Aerodynamics, 52, 1-3, pp. 185-218, (1994)
  • [9] He X.H., Yu X.D., Chen Z.Q., Nonstationarity analysis in wind-rain-induced vibration of stay cables, Journal of Civil Engineering and Management, 18, 6, pp. 821-827, (2012)
  • [10] Xu Y.L., Chen J., Characterizing non-stationary wind speed using empirical mode decomposition, Journal of Structural Engineering, 130, 6, pp. 912-920, (2004)