Stability of conical foundations on anisotropic clay: A comprehensive three-dimensional study on V-H-M failure envelopes
Article
Article Title | Stability of conical foundations on anisotropic clay: A comprehensive three-dimensional study on V-H-M failure envelopes |
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ERA Journal ID | 3466 |
Article Category | Article |
Authors | Tran, Duy Tan, Shiau, Jim, Lai, Van Qui and Keawsawasvong, Suraparb |
Journal Title | Computers and Geotechnics |
Journal Citation | 177 (Part B) |
Article Number | 106906 |
Number of Pages | 23 |
Year | 2025 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 0266-352X |
1873-7633 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.compgeo.2024.106906 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0266352X24008450?via%3Dihub |
Abstract | This paper is concerned with the V-H-M failure envelopes for conical foundations under combined loadings on anisotropic clay. The study employs the three-dimensional finite element limit analysis (3D FELA) technique and utilizes the well-established Anisotropic Undrained Shear (AUS) failure criteria. The focus of the study is on evaluating the influences of the cone apex angle (β) and the anisotropic factor (re) on the bearing capacity of conical foundations subjected to external forces of vertical force (V), horizontal force (H), and moment (M). The combinations of V-H, V-M, and H-M load spaces are analyzed using dimensionless output parameters (V/suTCA, H/suTCA, M/suTCAD), and the various characteristics of failure mechanisms of the conical foundation are examined. Alongside FELA, the study introduces an innovative machine learning approach using Categorical Boosting (CATBoost), Extreme Gradient Boosting (XGBoost), and Gradient Boosting Machine (GBM) to evaluate the correlation between input parameters and their outcomes. The proposed machine learning models are rigorously verified and validated with the CATBoost model, showing exceptional agreement with numerical results, as demonstrated by an impressive R2 value of 99.99 %. The present study is a practical and efficient method for evaluating the 3D failure envelope of conical foundations on anisotropic clay under general loading conditions in (V-H-M) space. |
Keywords | 3D Failure envelope; Conical footing; Anisotropic; Machine learning |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400502. Civil geotechnical engineering |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Thammasat University, Thailand |
School of Engineering | |
Ho Chi Minh City University of Technology, Vietnam | |
Vietnam National University, Vietnam |
https://research.usq.edu.au/item/zq74q/stability-of-conical-foundations-on-anisotropic-clay-a-comprehensive-three-dimensional-study-on-v-h-m-failure-envelopes
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