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

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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Bibliographic Details
Main Authors: Wanrui Hu, Kai Wu, Heng Liu, Weibang Luo, Xingxing Li, Peng Guan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Earth Science
Subjects:
TBM tunnel
crown convergence prediction
machine learning
model explanation
bayesian optimization
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2025.1608468/full
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