Soft ground micro TBM jack speed and torque prediction using machine learning models through operator data and micro TBM-log data synchronization

Soft ground micro TBM jack speed and torque prediction using machine learning models through operator data and micro TBM-log data synchronization

Abstract Tunnel Boring Machines (TBMs) are pivotal in underground projects like subways, highways, and water supply tunnels. Predicting and monitoring jack speed and torque is crucial for optimizing TBM excavation efficiency. Conventionally, skilled operators manually adjust numerous tunnelling para...

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Bibliographic Details
Main Authors: Kursat Kilic, Owada Narihiro, Hajime Ikeda, Tsuyoshi Adachi, Youhei Kawamura
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Optuna
Machine learning
Micro slurry TBM
Soft ground tunnelling
TBM jack speed control
TBM torque control
Online Access:https://doi.org/10.1038/s41598-024-60681-8

Internet

https://doi.org/10.1038/s41598-024-60681-8

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