Prediction of EPB Shield Tunneling Advance Rate in Mixed Ground Condition Using Optimized BPNN Model

Prediction of EPB Shield Tunneling Advance Rate in Mixed Ground Condition Using Optimized BPNN Model

Tunneling in mixed ground often results in severe torque fluctuations and a low advance rate. Therefore, choosing a reasonable set of parameters for accurate advance rate prediction is paramount to reduce cutter wear and improve tunneling efficiency. However, since the geological parameters in mixed...

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Bibliographic Details
Main Authors: Xuesong Fu, Quanmei Gong, Yaojie Wu, Yu Zhao, Hui Li
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
EPB shield tunneling
mixed ground
advance rate prediction
machine learning
genetic algorithm
Online Access:https://www.mdpi.com/2076-3417/12/11/5485

Internet

https://www.mdpi.com/2076-3417/12/11/5485

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