Improved Automatic Operational Modal Analysis Method and Application to Large-Scale Bridges
Publication: Journal of Bridge Engineering
Volume 26, Issue 8
Abstract
How to identify modal parameters accurately and automatically is an important issue in structural health monitoring. In this paper, two aspects of this issue are investigated based on the algorithm of natural excitation technology (NExT) in conjunction with the Eigensystem realization algorithm (ERA): (1) First, the selection of the user-defined parameters (sampling points of the fast Fourier transform and the data length) is discussed. Based on this, an empirical equation for determining the dimensions of the Hankel matrix is presented; (2) Second, we propose an improved stabilization diagram to determine the physical modes automatically. The modal frequency, damping ratio, extended modal amplitude coherence (EMAC) and modal amplitude coherence (MAC) are applied as criteria. The reliability of the proposed method is verified by a numerical simulation and two applications to a large-scale bridge. It is shown that the proposed method can distinguish the physical modes from spurious modes effectively and the most reliable physical modes can be automatically identified.
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Acknowledgments
This paper was financially supported by the National Natural Science Foundation of China (Grant No. 51608136 and 51908149), Shenzhen Science Technology and Innovation Commission (SZSTI) Basic Research General Program (Grant No. JCYJ20190808154411663), and Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering (SZU) (Grant No. 2020B1212060074). The Z24 long-term monitoring project was designed and proposed by the KU Leuven Structural Mechanics Section. The authors would like to thank the project members for providing their valuable data. Much appreciation is given to Prof. Jian Li from the University of Kansas for the OMA idea.
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Published In
Journal of Bridge Engineering
Volume 26 • Issue 8 • August 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Jul 16, 2020
Accepted: Apr 12, 2021
Published online: Jun 3, 2021
Published in print: Aug 1, 2021
Discussion open until: Nov 3, 2021
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