Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line

Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line

This paper presents a study on multi-objective optimization (MOO) of shield operational parameters (SOPs) for soft ground tunneling using a tunnel boring machine (TBM) in an urban environment, focusing on the case study of the MRT Blue Line in Bangkok. The investigation aims to determine the optimal...

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Bibliographic Details
Main Authors: Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-10-01
Series:Underground Space
Subjects:
Tunneling
Optimization
Penetration rate
Ground surface settlement
Long short-term memory
Non-dominated sorting genetic algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S246796742500073X
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http://www.sciencedirect.com/science/article/pii/S246796742500073X

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