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http://dx.doi.org/10.12989/smm.2022.9.2.107

Damage evaluation of seismic response of structure through time-frequency analysis technique  

Chen, Wen-Hui (P-Waver Inc.)
Hseuh, Wen (Department of Civil Engineering, National Taiwan University)
Loh, Kenneth J. (Department of Structural Engineering, University of California-San Diego)
Loh, Chin-Hsiung (Department of Civil Engineering, National Taiwan University)
Publication Information
Structural Monitoring and Maintenance / v.9, no.2, 2022 , pp. 107-127 More about this Journal
Abstract
Structural health monitoring (SHM) has been related to damage identification with either operational loads or other environmental loading playing a significant complimentary role in terms of structural safety. In this study, a non-parametric method of time frequency analysis on the measurement is used to address the time-frequency representation for modal parameter estimation and system damage identification of structure. The method employs the wavelet decomposition of dynamic data by using the modified complex Morlet wavelet with variable central frequency (MCMW+VCF). Through detail discussion on the selection of model parameter in wavelet analysis, the method is applied to study the dynamic response of both steel structure and reinforced concrete frame under white noise excitation as well as earthquake excitation from shaking table test. Application of the method to building earthquake response measurement is also examined. It is shown that by using the spectrogram generated from MCMW+VCF method, with suitable selected model parameter, one can clearly identify the time-varying modal frequency of the reinforced concrete structure under earthquake excitation. Discussions on the advantages and disadvantages of the method through field experiments are also presented.
Keywords
damage detection and localization; modified continuous wavelet analysis; Novelty index; seismic response data of building; time-frequency analysis;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Chen, J.D. and Loh, C.H. (2017), "Tracking modal parameters of building structures from experimental studies and earthquake response measurements", Struct. Hlth. Monit., 16(5), 551-567. https://doi.org/10.1177/1475921717696339.   DOI
2 Chen, J.D. and Loh, C.H. (2018), "Two-stage damage detection algorithms of structure using modal parameters identified from recursive subspace identification", Int. J. Earthq. Eng. Struct. Dyn., 47(3), 573-593. https://doi.org/10.1002/eqe.2980.   DOI
3 Noh, H., Nair, K.K. and Kiremidjian, A.S. (2011), "Use of wavelet-based damage-sensitive features for structural damage diagnosis using strong motion data journal of structural engineering", J. Struct. Eng., 137(10), 1215-1228. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000385.   DOI
4 Tarinejad, R. and Damadipour, M. (2014), "Modal identification of structures by a novel approach based on FDD-wavelet method", J. Sound Vib., 333(3), 1024-1045. https://doi.org/10.1016/j.jsv.2013.09.038.   DOI
5 Todorovska, M.I. (2001), "Estimation of instantaneous frequency of signals using the continuous wavelet transform", Report CE 01-07, Dept. of Civil Eng., Univ. of Southern California, CA, USA.
6 Yen, G.G. and Lin, K.C. (2002), "Wavelet packet feature extraction for vibration monitoring", IEEE Trans. Indus. Electron., 47(3), 650-667. https://doi.org/10.1109/41.847906.   DOI
7 Ali, S.B. and Kim, D. (2017), "Wavelet analysis of soil-structure interaction effect on seismic response of base-isolated nuclear power plants", Earthq. Struct., 13(6), 561-572. https://doi.org/10.12989/eas.2017.13.6.561.   DOI
8 Allen, J.B. and Rabirier, L.R. (1977), "An unified approach to short-time Fourier analysis and synthesis", Proc. IEEE, 65(11), 1558-1564. https://doi.org/10.1109/PROC.1977.10770.   DOI
9 Taha, M.R., Noureldin, A., Lucero, J.L. and Baca, T.J. (2006), "Wavelet transform for structural health monitoring: a compendium of uses and features", Struct. Hlth. Monit., 5(3), 267-295. https://doi.org/10.1177/1475921706067741.   DOI
10 Lee, S.G., Yun, G.J. and Shang, S. (2014), "Reference-free damage detection for truss bridge structures by continuous relative wavelet entropy method", Struct. Hlth. Monit., 13(3), 307-320. https://doi.org/10.1177/1475921714522845.   DOI
11 Guo, Y. and Kareem, A. (2015), "System identification through nonstationary response: wavelet transformed singular value decomposition-based approach", J. Eng. Mech., 141(7), 04015013. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000905.   DOI
12 Kijewski, T. and Kareem, A. (2003), "Wavelet transforms for system identification in civil engineering", Comput. Aid. Civil Infrastr. Eng., 18(5), 339-355. https://doi.org/10.1111/1467-8667.t01-1-00312.   DOI
13 Lardies, J. and Ta, M.N. (2005), "A wavelet-based approach for the identification of damping in non-linear oscillators", Int. J. Mech. Sci., 47(8), 1262-1281. https://doi.org/10.1016/j.jimecsci.2005.04.010.   DOI
14 Li, H.N., Yi, T.H., Ren, L., Li, D.S. and Huo, L.S. (2014), "Reviews on innovations and applications in structural health monitoring for infrastructures", Struct. Monit. Mainten., 1(1), 1-45. http://doi.org/10.12989/smm.2014.1.1.001.   DOI
15 Michel, C. and Gueguen, P. (2010), "Time-frequency analysis of small frequency variations in civil engineering structures under weak and strong motions using a reassignment method", Struct. Hlth. Monit., 9(2), 159-172. https://doi.org/10.1177/1475921709352146.   DOI
16 Nair, K.K. and Kiremidjian, A.S. (2009), "A damage detection algorithm using the morlet wavelet transform", Technical Report, Stanford University.
17 Klepka, A. and Uhl, T. (2014), "Identification of modal parameters of non-stationary systems with the use of wavelet based adaptive filtering", Mech. Syst. Signal Pr., 47(1-2), 21-34. https://doi.org/10.1016/j.ymssp.2013.09.001.   DOI
18 Golyandina, N., Nekrutkin, V. and Zhigljavsky, A.A. (2001), Analysis of Time Series Structure: SSA and Related Techniques, Chapman and Hall/CRC.