Classification and prediction of rock mass drillability for a tunnel boring machine based on operational data mining

Currently, the accurate prediction of tunnel boring machine (TBM) performance remains a considerable challenge due to the complex interactions between the TBM and rock mass. In this study, the research work is based on part of a metro tunnel project that covers 2,083.94 m. The Gaussian mixture model...

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Bibliographic Details
Main Authors: Mingshe Sun, Song Chen, Huafei He, Wenzheng Wang, Kezhi Song, Xuebing Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2024.1518844/full
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