Automated rock mass condition assessment during TBM tunnel excavation using deep learning

Abstract Rock mass condition assessment during tunnel excavation is a critical step for the intelligent control of tunnel boring machine (TBM). To address this and achieve automatic detection, a visual assessment system is installed to the TBM and a lager in-situ rock mass image dataset is collected...

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Bibliographic Details
Main Authors: Liang Chen, Zhitao Liu, Hongye Su, Fulong Lin, Weijie Mao
Format: Article
Language:English
Published: Nature Portfolio 2022-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-05727-5