Reinforcement Learning for the Face Support Pressure of Tunnel Boring Machines

Reinforcement Learning for the Face Support Pressure of Tunnel Boring Machines

In tunnel excavation with boring machines, the tunnel face is supported to avoid collapse and minimise settlement. This article proposes the use of reinforcement learning, specifically the deep Q-network algorithm, to predict the face support pressure. The algorithm uses a neural network to make dec...

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Bibliographic Details
Main Authors: Enrico Soranzo, Carlotta Guardiani, Wei Wu
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Geosciences
Subjects:
tunnelling
tunnel boring machine
support pressure
face stability
reinforcement learning
machine learning
Online Access:https://www.mdpi.com/2076-3263/13/3/82

Internet

https://www.mdpi.com/2076-3263/13/3/82

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