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Bird Mating Optimizer in Structural Damage Identification

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Advances in Swarm and Computational Intelligence (ICSI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9140))

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Abstract

In this paper, a structural damage detection approach based on bird mating optimizer (BMO) is proposed. Local damage is represented by a perturbation in the elemental stiffness parameter of the structural finite element model. The damage parameters are determined by minimizing the error derived from modal data, and natural frequency and modal assurance criteria (MAC) of mode shape is employed to formulate the objective function. The BMO algorithm is adopted to optimize the objective and optimum set of stiffness reduction parameters are predicted. The results show that the BMO can identify the perturbation of the stiffness parameters effectively even under measurement noise.

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Author information

Authors and Affiliations

  1. Department of Applied Mechanics, Sun Yat-Sen University, Guangzhou, 510006, Guangdong Province, People’s Republic of China

    H. Li, J. K. Liu & Z. R. Lu

Authors
  1. H. Li
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  2. J. K. Liu
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  3. Z. R. Lu
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Corresponding author

Correspondence to Z. R. Lu .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Xi'an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Universidade de Pernambuco, Recife, Brazil

    Fernando Buarque

  4. Instituto Politécnico Nacional, Mexico, Mexico

    Alexander Gelbukh

  5. Indian Statistical Institute, Kolkata, India

    Swagatam Das

  6. University of Pretoria, Pretoria, South Africa

    Andries Engelbrecht

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© 2015 Springer International Publishing Switzerland

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Li, H., Liu, J.K., Lu, Z.R. (2015). Bird Mating Optimizer in Structural Damage Identification. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9140. Springer, Cham. https://doi.org/10.1007/978-3-319-20466-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-20466-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20465-9

  • Online ISBN: 978-3-319-20466-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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