Automated Eigensystem Realization Algorithm for Operational Modal Identification of Bridge Structures

AbstractThe 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...

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Bibliographic Details
Published in:Journal of aerospace engineering 2019-03, Vol.32 (2)
Main Authors: Yang, Xiao-Mei, Yi, Ting-Hua, Qu, Chun-Xu, Li, Hong-Nan, Liu, Hua
Format: Article
Language:English
Subjects:
Algorithms
Automation
Clustering
Modal analysis
Modal identification
Parameter estimation
State space models
Structural health monitoring
Technical Papers
Vibration monitoring
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Summary:AbstractThe 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.
ISSN:0893-1321
1943-5525
DOI:10.1061/(ASCE)AS.1943-5525.0000984