JRMGE / Vol 16 / Issue 11
Rectangular tunnel heading stability in three dimensions and its predictive machine learning models
Jim Shiau, Suraparb Keawsawasvong, Van Qui Lai, Thanachon Promwichai, Viroon Kamchoom, Rungkhun Banyong
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a School of Engineering, University of Southern Queensland, QLD, Toowoomba, 4350, Australia
b Department of Civil Engineering, Thammasat School of Engineering, Thammasat University, Klong Luang, Pathumthani, 12120, Thailand
c Faculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Viet Nam
d Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City, Viet Nam
e Excellent Centre for Green and Sustainable Infrastructure, Department of Civil Engineering, School of Engineering, King Mongkut's Institute of Technology
Ladkrabang (KMITL), Bangkok, Thailand
2024, 16(11): 4683-4696. doi:10.1016/j.jrmge.2023.12.035
Received: 2023-08-15 / Revised: 2023-11-08 / Accepted: 2023-12-31 / Available online: 2024-05-01
2024, 16(11): 4683-4696.
doi:10.1016/j.jrmge.2023.12.035
Received: 2023-08-15
Revised: 2023-11-08
Accepted: 2023-12-31
Available online: 2024-05-01
Tunnel heading stability in two dimensions (2D) has been extensively investigated by numerous scholars in the past decade. One significant limitation of 2D analysis is the absence of actual tunnel geometry modeling with a considerable degree of idealization. Nevertheless, it is possible to study the stability of tunnels in three dimensions (3D) with a rectangular shape using finite element limit analysis (FELA) and a nonlinear programming technique. This paper employs 3D FELA to generate rigorous solutions for stability numbers, failure mechanisms, and safety factors for rectangular-shaped tunnels. To further explore the usefulness of the produced results, multivariate adaptive regression spline (MARS) is used for machine learning of big dataset and development of design equations for practical design applications. The study should be of great benefit to tunnel design practices using the developed equations provided in the paper.
Keywords: Wide rectangular tunnel, Finite element limit analysis (FELA), Multivariate adaptive regression spline (MARS), Three dimensions (3D), Stability analysis
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Jim Shiau, Suraparb Keawsawasvong, Van Qui Lai, Thanachon Promwichai, Viroon Kamchoom, Rungkhun Banyong, 2024. Rectangular tunnel heading stability in three dimensions and its predictive machine learning models. J. Rock Mech. Geotech. Eng. 16 (11), 4683-4696.