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Orthogonal test and regression analysis of the strain on silty soil in Shanghai under metro loading

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Abstract

Cyclic triaxial test by means of the geotechnical digital system is conducted for the soil near the Guoquan Road Station of Metro Line 10 in Shanghai to analyze the strain characteristics and the variation law of saturated silty soil under subway loading. Orthogonal design method is used to arrange the experiment, considering the following factors: frequency ratio f R, cyclic stress ratio σ R, vibration time ratio N R, and the interaction function among them. Results show that the cyclic stress ratio σ R, the frequency ratio f R, the vibration time ratio N R, and the interaction between the cyclic stress ratio σ R and the vibration time ratio N R have a significant effect on the axial strain of the subway tunnel. The effect of the interaction between the cyclic stress ratio σ R and the vibration time ratio N R is also significant. From the analysis of variance and regression theory, the nonlinear regression equation of the cumulative plastic strain of silty soil under subway loading is established. Residual analysis proves that the equation is ideal and credible. The results have important value for the design of subway tunnels.

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Acknowledgements

The investigation was supported by the National Natural Science Foundation of China (Grant No. 41072204) and Science and Technology of Henan Province (Grant No. 152102310204). The authors are deeply indebted to the financial supporters.

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Authors and Affiliations

  1. School of Civil and Architectural Engineering, Anyang Institute of Technology, Anyang, 455000, People’s Republic of China

    Chunling Yan & Yongtao Shi

  2. Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, People’s Republic of China

    Yiqun Tang

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  1. Chunling Yan
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  2. Yongtao Shi
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  3. Yiqun Tang
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Correspondence to Chunling Yan.

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Yan, C., Shi, Y. & Tang, Y. Orthogonal test and regression analysis of the strain on silty soil in Shanghai under metro loading. Environ Earth Sci 76, 506 (2017). https://doi.org/10.1007/s12665-017-6846-8

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