Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization

Accurate prediction of crown convergence in Tunnel Boring Machine (TBM) tunnels is critical for ensuring construction safety, optimizing support design, and improving construction efficiency. This study proposes an interpretable machine learning method based on Bayesian optimization (BO) and SHapley...

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Principais autores:	Wanrui Hu, Kai Wu, Heng Liu, Weibang Luo, Xingxing Li, Peng Guan
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2025-06-01
Serija:	Frontiers in Earth Science
Teme:	TBM tunnel crown convergence prediction machine learning model explanation bayesian optimization
Online dostop:	https://www.frontiersin.org/articles/10.3389/feart.2025.1608468/full
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