Ya-Wei Li

Interpretable machine learning for automatic rock mass classification in TBM tunneling: a case study of Beishan URL

Accurate rock mass classification is essential for safe tunnel boring machine (TBM) excavation, yet raw TBM monitoring data are often affected by shutdowns, machine adjustments, and transient disturbances, weakening their correlation with geological conditions. This study proposes an interpretable data-driven framework...