Use of Wavelet-Based Damage-Sensitive Features for Structural Damage Diagnosis Using Strong Motion Data
Publication: Journal of Structural Engineering
Volume 137, Issue 10
Abstract
This paper introduces three wavelet-based damage-sensitive features (DSFs) extracted from structural responses recorded during earthquakes to diagnose structural damage. Because earthquake excitations are nonstationary, the wavelet transform, which represents data as a weighted sum of time-localized waves, is used to model the structural responses. These DSFs are defined as functions of wavelet energies at particular frequencies and specific times. The first DSF () indicates how the wavelet energy at the original natural frequency of the structure changes as the damage progresses. The second DSF () indicates how much the wavelet energy is spread out in time. The third DSF () reflects how slowly the wavelet energy decays with time. The performance of these DSFs is validated using two sets of shake-table test data. The results show that as the damage extent increases, the value decreases and the and values increase. Thus, these DSFs can be used to diagnose structural damage. The robustness of these DSFs to different input ground motions is also investigated using a set of simulated data.
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Acknowledgments
The research presented in this paper is partially supported by the National Science Foundation CMMI Research Grant No. NSF0800932 and the Samsung Scholarship. Their support is greatly appreciated. The authors would also like to acknowledge Dr. Hoon Choi (URS Corp.), Professor M.“Saiid” Saiidi (University of Nevada, Reno), and Dr. Paul Somerville (URS Corp.) for providing the experimental data for the first application. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the NSF.
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Published In
Journal of Structural Engineering
Volume 137 • Issue 10 • October 2011
Pages: 1215 - 1228
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Aug 12, 2009
Published online: Jan 15, 2011
Accepted: May 13, 2011
Published in print: Oct 1, 2011
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