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Probabilistic Shear Strength Model of RC Columns Based on Gaussian Process Regression with Anisotropic Compound Kernel Function
CIVIL ENGINEERING | 更新时间：2025-01-17

    • Probabilistic Shear Strength Model of RC Columns Based on Gaussian Process Regression with Anisotropic Compound Kernel Function

    • “In the field of building structures, experts have proposed a probabilistic shear bearing capacity prediction model for RC columns based on anisotropic mixed kernel function Gaussian process regression, which effectively describes the uncertainty of shear bearing capacity and calibrates the prediction accuracy of traditional models.”
    • Advanced Engineering Sciences   Vol. 57, Issue 1, Pages: 287-295(2025)

    • DOI：10.12454/j.jsuese.202300328    

      CLC： TU375.3

    • Received：30 April 2023，

      Revised：2024-01-10，

      Published Online：03 June 2024，

      Published：20 January 2025

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  • Li Qiming,Zhang Pengfei,Yu Zecheng,et al.Probabilistic shear strength model of RC columns based on Gaussian process regression with anisotropic compound kernel function[J].Advanced Engineering Sciences,2025,57(1):287–295 DOI： 10.12454/j.jsuese.202300328.

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