CatBoost–Bayesian Hybrid Model Adaptively Coupled with Modified Theoretical Equations for Estimating the Undrained Shear Strength of Clay
The undrained shear strength of clay is an important index for the calculation of the bearing capacity of the foundation soil, the calculation of the soil pressure of the foundation pit, and the analysis of the slope stability. Therefore, the purpose of this paper is to conduct a comprehensive study...
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MDPI AG
2023-04-01
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author | Huajian Yang Zhikui Liu Yuantao Li Haixia Wei Nengsheng Huang |
author_facet | Huajian Yang Zhikui Liu Yuantao Li Haixia Wei Nengsheng Huang |
author_sort | Huajian Yang |
collection | DOAJ |
description | The undrained shear strength of clay is an important index for the calculation of the bearing capacity of the foundation soil, the calculation of the soil pressure of the foundation pit, and the analysis of the slope stability. Therefore, the purpose of this paper is to conduct a comprehensive study of the combined use of machine learning with clay theoretical equations to estimate it. Under the Bayesian framework, the CatBoost algorithm (CatBoost–Bayesian) based on Bayesian optimization algorithm was developed to obtain the feature importance level of soil parameters affecting the undrained shear strength of clay, so as to adaptively couple the theoretical equation of undrained shear strength of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>K</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula> consolidated clay, which was derived from the modified Cambridge model. Then, the theoretical equation of undrained shear strength of the isotropically consolidated clay was established from the critical state of the clay parameters. Finally, it was illustrated and verified using the experimental samples of Finnish clay. The results indicate that the theoretical equation established by the overconsolidation ratio and effective overburden pressure parameters can well estimate the undrained shear strength of isotropically consolidated clays, and the parameter uncertainty can be considered explicitly and rigorously. |
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spelling | doaj.art-b5ee208f9d5549b0ac4183a2b6cf68cf2023-11-17T22:33:42ZengMDPI AGApplied Sciences2076-34172023-04-01139541810.3390/app13095418CatBoost–Bayesian Hybrid Model Adaptively Coupled with Modified Theoretical Equations for Estimating the Undrained Shear Strength of ClayHuajian Yang0Zhikui Liu1Yuantao Li2Haixia Wei3Nengsheng Huang4Department of Civil Engineering and Architecture, Guilin University of Technology, Guilin 541004, ChinaDepartment of Civil Engineering and Architecture, Guilin University of Technology, Guilin 541004, ChinaDepartment of Civil Engineering and Architecture, Guilin University of Technology, Guilin 541004, ChinaDepartment of Civil Engineering and Architecture, Guilin University of Technology, Guilin 541004, ChinaDepartment of Civil Engineering and Architecture, Guilin University of Technology, Guilin 541004, ChinaThe undrained shear strength of clay is an important index for the calculation of the bearing capacity of the foundation soil, the calculation of the soil pressure of the foundation pit, and the analysis of the slope stability. Therefore, the purpose of this paper is to conduct a comprehensive study of the combined use of machine learning with clay theoretical equations to estimate it. Under the Bayesian framework, the CatBoost algorithm (CatBoost–Bayesian) based on Bayesian optimization algorithm was developed to obtain the feature importance level of soil parameters affecting the undrained shear strength of clay, so as to adaptively couple the theoretical equation of undrained shear strength of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>K</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula> consolidated clay, which was derived from the modified Cambridge model. Then, the theoretical equation of undrained shear strength of the isotropically consolidated clay was established from the critical state of the clay parameters. Finally, it was illustrated and verified using the experimental samples of Finnish clay. The results indicate that the theoretical equation established by the overconsolidation ratio and effective overburden pressure parameters can well estimate the undrained shear strength of isotropically consolidated clays, and the parameter uncertainty can be considered explicitly and rigorously.https://www.mdpi.com/2076-3417/13/9/5418clayundrained shear strengthCatBoost–Bayesianoverconsolidation ratioeffective overburden pressure |
spellingShingle | Huajian Yang Zhikui Liu Yuantao Li Haixia Wei Nengsheng Huang CatBoost–Bayesian Hybrid Model Adaptively Coupled with Modified Theoretical Equations for Estimating the Undrained Shear Strength of Clay Applied Sciences clay undrained shear strength CatBoost–Bayesian overconsolidation ratio effective overburden pressure |
title | CatBoost–Bayesian Hybrid Model Adaptively Coupled with Modified Theoretical Equations for Estimating the Undrained Shear Strength of Clay |
title_full | CatBoost–Bayesian Hybrid Model Adaptively Coupled with Modified Theoretical Equations for Estimating the Undrained Shear Strength of Clay |
title_fullStr | CatBoost–Bayesian Hybrid Model Adaptively Coupled with Modified Theoretical Equations for Estimating the Undrained Shear Strength of Clay |
title_full_unstemmed | CatBoost–Bayesian Hybrid Model Adaptively Coupled with Modified Theoretical Equations for Estimating the Undrained Shear Strength of Clay |
title_short | CatBoost–Bayesian Hybrid Model Adaptively Coupled with Modified Theoretical Equations for Estimating the Undrained Shear Strength of Clay |
title_sort | catboost bayesian hybrid model adaptively coupled with modified theoretical equations for estimating the undrained shear strength of clay |
topic | clay undrained shear strength CatBoost–Bayesian overconsolidation ratio effective overburden pressure |
url | https://www.mdpi.com/2076-3417/13/9/5418 |
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