Automated Eigensystem Realization Algorithm for Operational Modal Identification of Bridge Structures

作者：Yang, Xiao-Mei; Yi, Ting-Hua^*; Qu, Chun-Xu; Li, Hong-Nan; Liu, Hua

来源：Journal of Aerospace Engineering, 2019, 32(2): 04018148.

DOI：10.1061/(ASCE)AS.1943-5525.0000984

• Eigensystem realization algorithm
• Automated modal identification
• Clustering

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.

• 出版日期2019-3-1
• 单位大连理工大学