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Prediction model for shear capacity of corroded RC beams based on interpretable machine learning
更新时间：2025-07-21

    • Prediction model for shear capacity of corroded RC beams based on interpretable machine learning

    • “In the field of research on shear bearing capacity of concrete components, experts have established practical models based on data-driven approaches, clarifying the explicit mapping relationship between key parameters and shear bearing capacity, with high transparency and prediction accuracy.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 11, Pages: 3231-3243(2024)
    • 作者机构：

      1.长沙理工大学 土木工程学院，长沙 410114

      2.长沙理工大学 南方地区桥梁长期性能提升技术国家地方联合工程实验室，长沙 410114

    • DOI：10.13229/j.cnki.jdxbgxb.20230024    

      CLC： TU375.1

    • Received：03 January 2023，

      Published：01 November 2024

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  • DAI Li-zhao,WANG Chong,YUAN Ping,et al.Prediction model for shear capacity of corroded RC beams based on interpretable machine learning[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(11):3231-3243. DOI： 10.13229/j.cnki.jdxbgxb.20230024.

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