Automated Eigensystem Realization Algorithm for Operational Modal Identification of Bridge Structures
Publication: Journal of Aerospace Engineering
Volume 32, Issue 2
Abstract
The subject of vibration-based structural health monitoring (SHM) has attracted increasing attention, especially in the field of civil engineering. However, the development of these monitoring processes is not a simple task, with user interaction playing a significant role in the extraction of modal characteristics. In this paper, an automated operational modal analysis methodology based on an eigensystem realization algorithm (ERA) and a two-stage clustering strategy is proposed. Three crucial steps are addressed in this study. In the first phase, ERA is adopted to calculate modes from state-space models of different orders. Subsequently, the dissimilarity of modal parameters is employed as the features of fuzzy C-means (FCM) clustering to separate stable modes from unstable ones. The final step consists of grouping stable modes with similar structural properties to select physical modes. No user-specified parameter is required in the clustering procedure to single out physical modes. A practical bridge example is used to verify that the proposed method can estimate modal parameters effectively in real time.
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Acknowledgments
This research work was jointly supported by the National Natural Science Foundation of China (Grant Nos. 51625802 and 51778105), the 973 Program (Grant No. 2015CB060000), and the Foundation for High Level Talent Innovation Support Program of Dalian (Grant No. 2017RD03).
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Information & Authors
Information
Published In
Journal of Aerospace Engineering
Volume 32 • Issue 2 • March 2019
Copyright
©2018 American Society of Civil Engineers.
History
Received: Apr 23, 2018
Accepted: Aug 14, 2018
Published online: Dec 3, 2018
Published in print: Mar 1, 2019
Discussion open until: May 3, 2019
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