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    Structural identification and evaluation for SHM applications

    Access Status
    Fulltext not available
    Authors
    Chan, T.
    Li, Jun
    Caprani, C.
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Chan, T. and Li, J. and Caprani, C. 2018. Structural identification and evaluation for SHM applications. Journal of Civil Structural Health Monitoring. 8 (5): pp. 719-720.
    Source Title
    Journal of Civil Structural Health Monitoring
    DOI
    10.1007/s13349-018-0308-1
    ISSN
    2190-5452
    School
    School of Civil and Mechanical Engineering (CME)
    URI
    http://hdl.handle.net/20.500.11937/72650
    Collection
    • Curtin Research Publications
    Abstract

    Optimal condition monitoring, maintenance and management of the existing civil infrastructure have been identified as a critical factor in ensuring and raising the economic productive capacity. Direct in-service structural health monitoring and vibration behaviour measurement data are essential to provide more accurate performance assessment and capacity estimation. The main focus of this special issue, organised by Australian Network of Structural Health Monitoring (ANSHM), is to present recent developments and applications of innovative techniques for structural modelling, structural identification with uncertainties, data interpretation for structural performance prediction and reserve capacity evaluation.

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