Shield Tunnel (Segment) Uplift Prediction and Control Based on Interpretable Machine Learning
Author:
Affiliation:
1. SHU-SUCG Research Center for Building Industrialization, Shanghai University, Shanghai 200072, China
2. SILC Business School, Shanghai University, Shanghai 201800, China
3. Shanghai Tunnel Engineering Co., Ltd., Shanghai 200032, China
Abstract
Publisher
MDPI AG
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Link
https://www.mdpi.com/2071-1050/16/2/910/pdf
Reference38 articles.
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3. Assessment of fire-induced damage on concrete segment of shield TBM tunnel;Chang;Key Eng. Mater.,2006
4. Development and Thinking of Tunnels and Underground Engineering in China in Recent 2 Years (From 2019 to 2020);Hong;Tunn. Constr.,2021
5. A 3D finite element simulation model for TBM tunnelling in soft ground;Kasper;Int. J. Numer. Anal. Methods Geomech.,2004
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