Prediction Model for Cutterhead Rotation Speed Based on Dimensional Analysis and Elastic Net Regression

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1298 - 1298

Published: Jan. 27, 2025

The development and maturation of TBM (tunnel boring machine) technology have significantly improved the accuracy richness excavation data, driving advancements in intelligent tunneling research. However, challenges remain managing data noise parameter coupling, limiting interpretability traditional machine learning models regarding relationships. This study proposes a cutterhead rotation speed prediction model based on dimensional analysis. By utilizing boxplot methods low-pass filtering techniques, were preprocessed to select appropriate operational mechanical parameters. A dimensionless was established integrated with elastic net regression quantify Using cluster from water diversion tunnel project Xinjiang, generalizability validated. Results indicate that proposed achieves high accuracy, effectively capturing trends while demonstrating strong generalizability.

Language: Английский

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Prediction of disc cutter wear of shield machines based on transfer learning

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 162, P. 106633 - 106633

Published: April 14, 2025

Language: Английский

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Analysis of Rolling Bearing Dynamic Behaviors and Structural Complexities in Disc Cutters

Strength of Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Language: Английский

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Bayesian sequential learning of rock mass classifications along tunnel trajectory using TBM operational data and geo-data spatial correlation

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 163, P. 106709 - 106709

Published: May 5, 2025

Language: Английский

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Intelligent dynamic control of shield parameters using a hybrid algorithm and digital twin platform

Automation in Construction, Journal Year: 2024, Volume and Issue: 169, P. 105882 - 105882

Published: Nov. 22, 2024

Language: Английский

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