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Inverse Analysis of Subgrade Reaction Coefficient of Subway Based on Computer Neural Network

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Abstract

This study analyzed the value of the coefficient of the subgrade reaction in different soil layers to improve the convenience and accuracy of determining the coefficient of the subgrade reaction of typical rock and soil in the Shijiazhuang area. For this analysis, we relied on the actual project of the deep foundation pit drainage section of the Dongli Station of the Shijiazhuang Metro Line 3, organized and analyzed the monitoring data obtained in the actual construction process, and discussed the deformation law of the foundation pit. The learning and training samples of the back-propagation neural network were established using an orthogonal experimental design method and the FLAC3D numerical simulation software. An inverse analysis of the rock elastic modulus E and coefficient of the subgrade reaction K in this area was conducted. The results of the inversion analysis of the coefficient of the subgrade reaction of typical geotechnical strata in the Shijiazhuang area were in good agreement with the normative values and experimental reference values in the survey and design data. These results were for the loess-like silty clay and silty clay in the Shijiazhuang stratum. The representative soil layer was modified using the corresponding theoretical formula, and the corresponding theoretical calculation reference formula was obtained.

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Funding

This work was supported by the Science and Technology Development Plan Project of the Shaanxi Construction Department (Grant No. 2018-K05).

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Authors and Affiliations

  1. Department of Architecture and Civil Engineering, Yuncheng Vocational and Technical University, Yuncheng, 044000, Shanxi, China

    Jie Miao & Feipeng Wang

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  1. Jie Miao
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  2. Feipeng Wang
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Correspondence to Jie Miao.

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Miao, J., Wang, F. Inverse Analysis of Subgrade Reaction Coefficient of Subway Based on Computer Neural Network. Geotech Geol Eng 41, 1–13 (2023). https://doi.org/10.1007/s10706-022-02257-9

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