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

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