Modal Identification of High-Speed Railway Bridges through Free-Vibration Detection
Publication: Journal of Engineering Mechanics
Volume 146, Issue 9
Abstract
In the dynamic characteristic analysis of high-speed railway bridges, free-vibration responses after a train passes are valuable for modal identification. However, distinguishing between free- and forced-vibration segments requires user intervention, which hinders the reliable and continuous identification of modal parameters, thereby impeding the vibration-based structural state assessment. This paper proposes a free-vibration detection technique whose basis is that the envelope function of each modal component decomposed from the free-vibration data decays exponentially. To extract the modal component adaptively, iterative variational mode decomposition is proposed where the signal is iteratively decomposed into two components until a single-degree-of-freedom component is obtained. Subsequently, the estimated free-vibration data are adopted to identify the modal parameters by the eigensystem realization algorithm with data correlation. A numerical simulation illustrates that the proposed method can provide the optimal free-vibration data for modal analysis. To verify the effectiveness of the proposed method in practice, the accelerations of the railway bridge during the passage of a train are analyzed. The modes can be identified from the estimated free-vibration data but not from the combination of forced- and free-vibration data, which indicates that the separation of forced and free vibration is necessary and can be achieved by the proposed method.
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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. 51625802, 51978128, 51778105), the LiaoNing Revitalization Talents Program (Grant No. XLYC1802035), the Foundation for High Level Talent Innovation Support Program of Dalian (Grant No. 2017RD03), and the Fundamental Research Funds for Central Universities (Grant No. DUT19GJ202).
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Published In
Journal of Engineering Mechanics
Volume 146 • Issue 9 • September 2020
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Mar 8, 2019
Accepted: May 26, 2020
Published online: Jul 15, 2020
Published in print: Sep 1, 2020
Discussion open until: Dec 15, 2020
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