Duy Tan Tran , Jim Shiau , Van Qui Lai , Suraparb Keawsawasvong
{"title":"Stability of conical foundations on anisotropic clay: A comprehensive three-dimensional study on V-H-M failure envelopes","authors":"Duy Tan Tran , Jim Shiau , Van Qui Lai , Suraparb Keawsawasvong","doi":"10.1016/j.compgeo.2024.106906","DOIUrl":null,"url":null,"abstract":"<div><div>This paper is concerned with the <em>V-H-M</em> 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 (<em>β</em>) and the anisotropic factor (<em>r<sub>e</sub></em>) on the bearing capacity of conical foundations subjected to external forces of vertical force (<em>V</em>), horizontal force (<em>H</em>), and moment (<em>M</em>). The combinations of <em>V-H</em>, <em>V-M</em>, and <em>H-M</em> load spaces are analyzed using dimensionless output parameters (<em>V/s<sub>uTC</sub>A</em>, <em>H/s<sub>uTC</sub>A</em>, <em>M/s<sub>uTC</sub>AD</em>), 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 R<sup>2</sup> 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 (<em>V-H-M</em>) space.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"177 ","pages":"Article 106906"},"PeriodicalIF":5.3000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266352X24008450","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.