Damage detection for time-varying strutures based on the synchrosqueezing wavelet transform

被引:0
|
作者
Liu J. [1 ]
Ren W. [2 ]
Huang W. [1 ]
Huang Z. [1 ]
Xu X. [1 ]
机构
[1] School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou
[2] School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei
来源
关键词
Instantaneous frequency; Modal participation factor ratio; Synchrosqueezing wavelet transform; Time-varying damage detection; Wavelet total energy;
D O I
10.13465/j.cnki.jvs.2017.21.002
中图分类号
学科分类号
摘要
A new damage detection method for time-varying structures based on the synchrosqueezing wavelet transform was proposed. The wavelet total energy index was employed to detect damage locations, and then the synchrosqueezing wavelet transform was performed on the response signals at the structural damage locations. As a result, the instantaneous frequencies were extracted and individual component signals were reconstructed. A new time-varying damage index(TVDI) was defined based on the extracted instantaneous frequencies and modal participation factor ratio calculated from the reconstructed individual components. A simply supported beam structure with abrupt and linear time-varying damage was simulated numerically to verify the effectiveness of the presented method. The results demonstrate that the defined time-varying damage index can effectively detect damage locations and track structural time-varying damages. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码:8 / 15and33
页数:1525
相关论文
共 14 条
  • [1] Kopsaftopoulos F.P., Fassois S.D., A functional model based statistical time series method for vibration based damage detection, localization, and magnitude estimation, Mechanical Systems and Signal Processing, 39, pp. 143-161, (2013)
  • [2] Yan G., Duan Z., Ou J., Review on structural damage detection based on vibration data, Journal of Earthquake Engineering and Engineering Vibration, 27, 3, pp. 95-102, (2007)
  • [3] Kijewski K., Kareem A., Wavelet transforms for system identification in civil engineering, Computer-Aided Civil and Infrastructure Engineering, 18, pp. 339-355, (2003)
  • [4] Daubechies I., Lu J., Wu H.T., Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool, Applied and Computational Harmonic Analysis, 30, 2, pp. 243-261, (2011)
  • [5] Thakur G., Brevdo E., Fuckar N.S., Et al., The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications, Signal Processing, 93, pp. 1079-1094, (2013)
  • [6] Liu J., Ren W., Wang Z., Et al., Instantaneous frequency identification based on synchrosqueezing wavelet transformation, Journal of Vibration and Shock, 32, 18, pp. 37-42, (2013)
  • [7] Soyoz S., Feng M.Q., Instantaneous damage detection of bridge structures and experimental verification, Structural Control and Heath Monitoring, 15, pp. 958-973, (2008)
  • [8] Xiong F., Cheng Y., Liu J., Damage identification of time varying multi-degrees of freedom systems based on Hilbert-Huang transform, Journal of Vibration, Measurement & Diagnosis, 28, 2, pp. 122-125, (2008)
  • [9] Ren Y., Weng P., Structural damage detection based on improved Hilbert-Huang transform, Journal of Vibration and Shock, 34, 18, pp. 195-199, (2015)
  • [10] Darvishan E., Amiri G.G., Ghaderi P., A study on instantaneous time-frequency methods for damage detection of nonlinear moment-resisting frames, Shock and Vibration, 1, pp. 1-14, (2014)