Prediction of rock mass classification in tunnel boring machine tunneling using the principal component analysis (PCA)–gated recurrent unit (GRU) neural network

Prediction of rock mass classification in tunnel boring machine tunneling using the principal component analysis (PCA)–gated recurrent unit (GRU) neural network

Abstract Due to the complexity of underground engineering geology, the tunnel boring machine (TBM) usually shows poor adaptability to the surrounding rock mass, leading to machine jamming and geological hazards. For the TBM project of Lanzhou Water Source Construction, this study proposed a neural n...

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Bibliographic Details
Main Authors: Ke Man, Liwen Wu, Xiaoli Liu, Zhifei Song, Kena Li, Nawnit Kumar
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Deep Underground Science and Engineering
Subjects:
gated recurrent unit (GRU)
prediction of rock mass classification
principal component analysis (PCA)
TBM tunneling
Online Access:https://doi.org/10.1002/dug2.12084
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