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Volume 43 Issue S2
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WANG Hai-lin, LIU Hang-yu, GU Xiao-qiang, SONG Xu-gen. Multi-parameter prediction of Zhuhai clay based on multivariate probability distribution model[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(S2): 193-196. DOI: 10.11779/CJGE2021S2046
Citation: WANG Hai-lin, LIU Hang-yu, GU Xiao-qiang, SONG Xu-gen. Multi-parameter prediction of Zhuhai clay based on multivariate probability distribution model[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(S2): 193-196. DOI: 10.11779/CJGE2021S2046
shu

Multi-parameter prediction of Zhuhai clay based on multivariate probability distribution model

  • 1.

    Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China

  • 2.

    Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China

  • 3.

    Traffic Design and Research Institute, China Railway Siyuan Survey And Design Group Co., Ltd., Wuhan 430063, China

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  • Received Date: August 15, 2021
  • Available Online: December 05, 2022
    Graphical Abstract
    • Abstract
  • In geotechnical engineering practice, an important task is to obtain the design parameters required based on the site survey report. The mutual conversion of soil parameters is of great significance to the practice of geotechnical engineering. Based on the previous studies, the laboratory test and field test data of soft soil in a certain urban area of Zhuhai are analyzed. A multivariate probability distribution model of 9 soil parameters and a Bayesian updating model are established. Using this Bayesian updating model can easily make use of the information of multiple soil parameters to predict unknown parameters. The results show that the multi-parameter prediction model can synthesize the information of all known parameters, thereby effectively improving the accuracy of predicting unknown parameters.
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    • References (14)
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