A real-time rock mass class identification model of the tunnel face based on TBM tunneling and the corresponding muck characteristic parameters

International Journal of Rock Mechanics and Mining Sciences, Journal Year: 2025, Volume and Issue: 188, P. 106057 - 106057

Published: Feb. 20, 2025

Language: Английский

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A novel identification technology and real-time classification forecasting model based on hybrid machine learning methods in mixed weathered mudstone-sand-pebble formation

Tunnelling and Underground Space Technology, Journal Year: 2024, Volume and Issue: 153, P. 106045 - 106045

Published: Sept. 4, 2024

Language: Английский

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Rapid and simultaneous measurement of ice and unfrozen water content based on an inverse analysis surrogate model

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 125559 - 125559

Published: Jan. 1, 2025

Language: Английский

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Multivariate Prediction Model of Geothermal Parameters Based on Machine Learning

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134497 - 134497

Published: Jan. 1, 2025

Language: Английский

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Data visualization strategy for predicting rock mass classification with TBM key rock-fragmentation parameters

Transportation Geotechnics, Journal Year: 2025, Volume and Issue: unknown, P. 101489 - 101489

Published: Jan. 1, 2025

Language: Английский

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Study of Cross-Project Prediction of Rock Mass Classification Based on Feature Fusion

Journal of Computing in Civil Engineering, Journal Year: 2025, Volume and Issue: 39(4)

Published: April 1, 2025

Language: Английский

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Intelligent design and evaluation of tunnel support structure systems

Automation in Construction, Journal Year: 2025, Volume and Issue: 175, P. 106215 - 106215

Published: April 18, 2025

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TBM rock mass classification using XGBoost and Interpretable Machine learning

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 66, P. 103459 - 103459

Published: May 13, 2025

Language: Английский

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The Use of a Laser Diffractometer to Analyze the Particle Size Distribution of Selected Organic Soils

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(18), P. 8104 - 8104

Published: Sept. 10, 2024

This study was conducted to verify the usefulness of laser diffractometer method for determining particle size distribution selected organic soils from Podkarpacie region in Poland. The soil this research represented three main classification groups, namely, low-organic, medium-organic and high-organic soil, accordance with standard criterion. Particle determined using two types diffractometers: Helos manufactured by Sympatec GmbH (Clausthal-Zellerfeld, Germany) analyzer Analysette 22 MicroTech plus Fritsch (Idar-Oberstein, Germany). mechanical sedimentation methods, which are perfect testing mineral soils, not applicable soils; therefore, a serious problem found examined. A reference that could test results obtained methods required. After analyzing literature, hydrometric (sedimentation) adopted as method. Currently, there no reliable fully verified such complex skeleton structure, resources, standards guidelines concerning issues discussed extremely limited; new being sought fill gap, work is step direction. studies analyses have shown diffractometry can be useful but limited extent, depending mainly on quantity substances. highest agreement comparing those group highly soils.

Language: Английский

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Real-time prediction of TBM penetration rates using a transformer-based ensemble deep learning model

Automation in Construction, Journal Year: 2024, Volume and Issue: 168, P. 105793 - 105793

Published: Sept. 30, 2024

Language: Английский

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