BILSTM-Based Deep Neural Network for Rock-Mass Classification Prediction Using Depth-Sequence MWD Data: A Case Study of a Tunnel in Yunnan, China

BILSTM-Based Deep Neural Network for Rock-Mass Classification Prediction Using Depth-Sequence MWD Data: A Case Study of a Tunnel in Yunnan, China

Measurement while drilling (MWD) data reflect the drilling rig–rock mass interaction; they are crucial for accurately classifying the rock mass ahead of the tunnel face. Although machine-learning methods can learn the relationship between MWD data and rock mechanics parameters to support rock classi...

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Bibliographic Details
Main Authors: Xu Cheng, Hua Tang, Zhenjun Wu, Dongcai Liang, Yachen Xie
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
rock mass classification
measurement while drilling
deep neural networks
Bi-directional Long Short-Term Memory
Online Access:https://www.mdpi.com/2076-3417/13/10/6050

Internet

https://www.mdpi.com/2076-3417/13/10/6050

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