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Probabilistic method for displacement back analysis of deep excavations in soft soil based on Bayesian method
Civil Engineering | 更新时间：2024-05-22

    • Probabilistic method for displacement back analysis of deep excavations in soft soil based on Bayesian method

    • “In the field of deep excavation engineering, experts have proposed a soil parameter inversion method based on Bayesian parameter update framework and on-site monitoring data. An implicit function relationship between soil parameters and the lateral displacement of the retaining wall is established through GA-BP neural network. A Bayesian inverse analysis model is established based on monitoring data to verify the feasibility of the method, providing a solution for optimizing excavation support schemes and reducing engineering risks.”
    • Journal of Civil and Environmental Engineering   Vol. 46, Issue 3, Pages: 52-60(2024)

    • DOI：10.11835/j.issn.2096-6717.2023.043    

      CLC： TU753.1

    • Received：24 October 2022，

      Published：25 June 2024

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  • LIN Dong,ZHENG Junjie,XUE Pengpeng,et al.Probabilistic method for displacement back analysis of deep excavations in soft soil based on Bayesian method[J].Journal of Civil and Environmental Engineering,2024,46(03):52-60. DOI： 10.11835/j.issn.2096-6717.2023.043.

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