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    Electromechanical Impedance-based Techniques for Structural Health Monitoring

    Fan X 2018.pdf (6.488Mb)
    Access Status
    Open access
    Authors
    Fan, Xingyu
    Date
    2018
    Supervisor
    Hong Hao
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    Faculty
    Science and Engineering
    School
    Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/75614
    Collection
    • Curtin Theses
    Abstract

    New developments on electromechanical impedance (EMI) based structure health monitoring techniques are presented in this thesis. Time frequency auto-regressive moving average (TFARMA) model based damage indicator is developed to enhance the sensitivity of EMI based method for structural damage detection. An innovative approach by using impedance sensitivity-based model updating and sparse regularization techniques is developed for structural damage localization and quantification. Numerical and experimental studies are conducted to verify the performance of the proposed approaches.

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