Modal Identification of Bridges Using Asynchronous Responses through an Enhanced Natural Excitation Technique
Publication: Journal of Engineering Mechanics
Volume 147, Issue 12
Abstract
Operational modal identification is indispensable in bridge health monitoring because it estimates modal parameters only from the multiple-channel responses of bridges under ambient excitation. Multiple-channel responses are often slightly asynchronous due to sensor errors, which is generally ignored in response monitoring but introduces significant uncertainty to modal identification. Considering that calibrating the asynchronous responses during the sensing or data acquisition process is not economical, an identification method based on the natural excitation technique (NExT) is proposed for asynchronous responses. In the NExT method, the power spectra of monitoring responses are first calculated and then transformed into correlation functions by inverse Fourier transform. The phase characteristics of power spectra and the linearly dependent characteristics of modal components in correlation functions are compared for synchronous and asynchronous responses, respectively, with consideration of the noise level and asynchronous time. Then the enhanced NExT is proposed, in which the multiple-channel responses are synchronized by minimizing the phase slope and maximizing the linear dependency of modal components. Finally, the responses of a numerical example and a highway bridge are taken to verify the method. The results show that the multiple-channel asynchronous responses of bridges under ambient excitation can be effectively aligned to obtain high-precision mode shapes.
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Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This research work was jointly supported by the National Natural Science Foundation of China (Grant Nos. 52050050, 52108270, and 52078100) and the LiaoNing Revitalization Talents Program (Grant No. XLYC1802035).
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Published In
Journal of Engineering Mechanics
Volume 147 • Issue 12 • December 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Nov 15, 2020
Accepted: Aug 18, 2021
Published online: Sep 25, 2021
Published in print: Dec 1, 2021
Discussion open until: Feb 25, 2022
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