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    Numerical and experimental verifications on damping identification with model updating and vibration monitoring data

    Access Status
    Fulltext not available
    Authors
    Li, Jun
    Hao, Hong
    Fan, G.
    Ni, P.
    Wang, Xiangyu
    Wu, Changzhi
    Lee, J.
    Jung, K.
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Li, J. and Hao, H. and Fan, G. and Ni, P. and Wang, X. and Wu, C. and Lee, J. et al. 2017. Numerical and experimental verifications on damping identification with model updating and vibration monitoring data. Smart Structures and Systems. 20 (2): pp. 127-137.
    Source Title
    Smart Structures and Systems
    DOI
    10.12989/sss.2017.20.2.127
    ISSN
    1738-1584
    School
    Department of Civil Engineering
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/LP160100528
    URI
    http://hdl.handle.net/20.500.11937/63100
    Collection
    • Curtin Research Publications
    Abstract

    © Copyright 2017 Techno-Press, Ltd. Identification of damping characteristics is of significant importance for dynamic response analysis and condition assessment of structural systems. Damping is associated with the behavior of the energy dissipation mechanism. Identification of damping ratios based on the sensitivity of dynamic responses and the model updating technique is investigated with numerical and experimental investigations. The effectiveness and performance of using the sensitivity-based model updating method and vibration monitoring data for damping ratios identification are investigated. Numerical studies on a three-dimensional truss bridge model are conducted to verify the effectiveness of the proposed approach. Measurement noise effect and the initial finite element modelling errors are considered. The results demonstrate that the damping ratio identification with the proposed approach is not sensitive to the noise effect but could be affected significantly by the modelling errors. Experimental studies on a steel planar frame structure are conducted. The robustness and performance of the proposed damping identification approach are investigated with real measured vibration data. The results demonstrate that the proposed approach has a decent and reliable performance to identify the damping ratios.

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