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    Structural Damage Detection Using Finite Element Model Updating Using Particle Swarm Optimization with Noisy Modal Data

    Access Status
    Fulltext not available
    Authors
    Malekzehtab, Hassan
    Golafshani, Ali
    Nikraz, Hamid
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Malekzehtab, Hassan and Golafshani, Ali Akbar and Nikraz, Hamid. 2012. Structural Damage Detection Using Finite Element Model Updating Using Particle Swarm Optimization with Noisy Modal Data, , in Vimonsatit, V. and Singh, A. and Yazdani, S. (ed), Research, Development, and Practice in Structural Engineering and Construction, The 1st Australasia and South East Asia Conference in Structural Engineering and Construction (ASEA-SEC-1), Nov 28-Dec 2 2012, pp. 755-760. Perth, Western Australia: Research Publishing Services
    Source Title
    Proceedings of the 1st Australasia and South East Asia Conference in Structural Engineering and Construction (ASEA-SEC-1)
    Source Conference
    The 1st Australasia and South East Asia Conference in Structural Engineering and Construction (ASEA-SEC-1)
    DOI
    10.3850/978-981-08-7920-4_St-154-0456
    ISBN
    978-981-07-3678-1
    URI
    http://hdl.handle.net/20.500.11937/10099
    Collection
    • Curtin Research Publications
    Abstract

    In this paper the applicability of Particle Swarm Optimization (PSO) is investigated for damage detection on a simple beam using model updating method considering measuring errors. Model updating, which is applied as a powerful tool for discovering damage intense and location in several kinds of structures, is a process for minimizing the difference between similar features of the model and real structure. In this study, the modal data including natural frequencies and mode shapes are intended as target features which can be extracted from sensors located in the structure. However, the measured data is expected to be noisy. To minimize the error, particle swarm optimization is used for its abilities in coping with complex search areas. The efficiency of this method is evaluated on several damage cases. The results show that this method can detect the damage in studued structure satisfactorily even if modal data is not precisely obtained in the way that the accuracy of achieved results will diminish by higher noise levels.

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