Real-time rock mass condition prediction with TBM tunneling big data using a novel rock–machine mutual feedback perception method

Real-time rock mass condition prediction with TBM tunneling big data using a novel rock–machine mutual feedback perception method

Real-time perception of rock mass information is of great importance to efficient tunneling and hazard prevention in tunnel boring machines (TBMs). In this study, a TBM–rock mutual feedback perception method based on data mining (DM) is proposed, which takes 10 tunneling parameters related to surrou...

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Bibliographic Details
Main Authors: Zhijun Wu, Rulei Wei, Zhaofei Chu, Quansheng Liu
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Tunnel boring machine (TBM)
Data mining (DM)
Spectral clustering (SC)
Deep neural network (DNN)
Rock mass condition perception
Online Access:http://www.sciencedirect.com/science/article/pii/S167477552100127X

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http://www.sciencedirect.com/science/article/pii/S167477552100127X

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