Prediction of lining response for twin tunnels constructed in anisotropic clay using machine learning techniques

Prediction of lining response for twin tunnels constructed in anisotropic clay using machine learning techniques

Excessive structural forces generated inside tunnel linings could affect the safety and serviceability of tunnels, emphasizing the need to accurately predict the forces acting on tunnel linings during the preliminary design phase. In this study, an anisotropic soil model developed by Norwegian Geote...

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Bibliographic Details
Main Authors: Wengang Zhang, Yongqin Li, Chongzhi Wu, Hongrui Li, ATC Goh, Hanlong Liu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-02-01
Series:Underground Space
Subjects:
Twin tunnel
Bending moment
Thrust force
Multivariate adaptive regression splines
Decision tree regressor
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967419301163

Internet

http://www.sciencedirect.com/science/article/pii/S2467967419301163

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