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    Structural damage identification based on modified Artificial Bee Colony algorithm using modal data

    Access Status
    Fulltext not available
    Authors
    Ding, Z.
    Yao, R.
    Li, Jun
    Lu, Z.
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Ding, Z. and Yao, R. and Li, J. and Lu, Z. 2017. Structural damage identification based on modified Artificial Bee Colony algorithm using modal data. Inverse Problems in Science and Engineering. 26 (3): pp. 422-442.
    Source Title
    Inverse Problems in Science and Engineering
    DOI
    10.1080/17415977.2017.1310855
    ISSN
    1741-5977
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/53479
    Collection
    • Curtin Research Publications
    Abstract

    A method for structural damage identification based on a modified Artificial Bee Colony algorithm is presented. A new formula is introduced to the onlooker bee phase to improve the convergence rate and the Tournament Selection Strategy is adopted instead of roulette to enhance global search ability of the algorithm. Test functions are introduced as benchmarks to verify the proposed algorithm. And then two numerical examples, including a supported beam and a plate, are conducted to investigate the efficiency and correctness of the proposed method. Final estimated results show that the present technique can produce more accurate damage identification results, comparing with other evolutionary algorithms, even with a few noise contaminated measurements.

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