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Enhancing understanding of 3D rectangular tunnel heading stability in c-φ soils with surcharge loading:A comprehensive FELA analysis using three stability factors and machine learning

Suraparb Keawsawasvong Jim Shiau Nhat Tan Duong Thanachon Promwichai Rungkhun Banyong Van Qui Lai

Artificial Intelligence in Geosciences2025，Vol.6Issue(1)：P.69-84,16.

Artificial Intelligence in Geosciences2025，Vol.6Issue(1)：P.69-84,16.DOI:10.1016/j.aiig.2025.100111

Enhancing understanding of 3D rectangular tunnel heading stability in c-φ soils with surcharge loading:A comprehensive FELA analysis using three stability factors and machine learning

Suraparb Keawsawasvong ¹Jim Shiau ²Nhat Tan Duong ³Thanachon Promwichai ¹Rungkhun Banyong ¹Van Qui Lai³

作者信息

1. Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures,Department of Civil Engineering,Thammasat School of Engineering,Thammasat University,Pathumthani,12120,Thailand
2. School of Engineering,University of Southern Queensland,Toowoomba,4350,QLD,Australia
3. Faculty of Civil Engineering,Ho Chi Minh City University of Technology(HCMUT),268 Ly Thuong Kiet Street,District 10,Ho Chi Minh City,Viet Nam Vietnam National University Ho Chi Minh City(VNU-HCM),Linh Trung Ward,Thu Duc District,Ho Chi Minh City,Viet Nam
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摘要

关键词

3D tunnel/Stability factors/Terzaghi/Superposition/FELA/ANN/XGBoost

分类

交通工程

引用本文复制引用

Suraparb Keawsawasvong,Jim Shiau,Nhat Tan Duong,Thanachon Promwichai,Rungkhun Banyong,Van Qui Lai..Enhancing understanding of 3D rectangular tunnel heading stability in c-φ soils with surcharge loading:A comprehensive FELA analysis using three stability factors and machine learning[J].Artificial Intelligence in Geosciences,2025,6(1):P.69-84,16.

基金项目

Ho Chi Minh City University of Technology(HCMUT),VNU-HCM for supporting this study. （HCMUT）

Artificial Intelligence in Geosciences

ISSN：2666-5441

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