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Bridge scour depth identification based on dynamic characteristics and improved particle swarm optimization algorithm
更新时间:2025-05-26
    • Bridge scour depth identification based on dynamic characteristics and improved particle swarm optimization algorithm

    • In the field of bridge erosion damage identification, experts have proposed an identification method based on the dynamic characteristics of bridge structures and improved particle swarm optimization algorithm, providing a solution for bridge foundation erosion damage identification.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 6, Pages: 1592-1600(2023)
    • 作者机构:

      1.吉林大学 交通学院, 长春 130022

      2.长春市建设工程安全监督站, 长春 130012

      3.吉林省公路管理局,长春 130021

      4.吉林省交通规划设计院, 长春 130021

    • DOI:10.13229/j.cnki.jdxbgxb.20230145    

      CLC: U446
    • Received:28 February 2023

      Published:01 June 2023

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  • TAN Guo-jin,KONG Qing-wen,HE Xin,et al.Bridge scour depth identification based on dynamic characteristics and improved particle swarm optimization algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(06):1592-1600. DOI: 10.13229/j.cnki.jdxbgxb.20230145.

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