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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    Title :

    Automated Eigensystem Realization Algorithm for Operational Modal Identification of Bridge Structures


    Contributors:
    Yang, Xiao-Mei (author) / Yi, Ting-Hua (author) / Qu, Chun-Xu (author) / Li, Hong-Nan (author) / Liu, Hua (author)

    Published in:

    Publication date :

    2018-12-03




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown