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Monthly advance rate estimation of hard rock tunnel boring machine based on rock mass classification and data augmentation

Honggan Yu Yin Bo Quansheng Liu Xuhui Yang Shuzhan Xu Xing Huang

地下空间(英文)2025,Vol.23Issue(4):175-192,18.
地下空间(英文)2025,Vol.23Issue(4):175-192,18.DOI:10.1016/j.undsp.2025.02.002

Monthly advance rate estimation of hard rock tunnel boring machine based on rock mass classification and data augmentation

Monthly advance rate estimation of hard rock tunnel boring machine based on rock mass classification and data augmentation

Honggan Yu 1Yin Bo 2Quansheng Liu 1Xuhui Yang 3Shuzhan Xu 1Xing Huang4

作者信息

  • 1. Key Laboratory of Geotechnical and Structural Engineering Safety of Hubei Province,School of Civil Engineering,Wuhan University,Wuhan 430072,China
  • 2. Key Laboratory of Geotechnical and Structural Engineering Safety of Hubei Province,School of Civil Engineering,Wuhan University,Wuhan 430072,China||Changjiang Institute of Survey,Planning,Design and Research,Wuhan 430014,China
  • 3. China South-to-North Water Diversion Jianghan Water Network Construction and Development Co.,Ltd.,Wuhan 430040,China
  • 4. State Key Laboratory of Geomechanics and Geotechnical Engineering,Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan 430071,China
  • 折叠

摘要

关键词

Tunnel boring machine/Advance rate estimation/Rock mass classification/Data augmentation/Machine learning

Key words

Tunnel boring machine/Advance rate estimation/Rock mass classification/Data augmentation/Machine learning

引用本文复制引用

Honggan Yu,Yin Bo,Quansheng Liu,Xuhui Yang,Shuzhan Xu,Xing Huang..Monthly advance rate estimation of hard rock tunnel boring machine based on rock mass classification and data augmentation[J].地下空间(英文),2025,23(4):175-192,18.

基金项目

This work was supported by China Postdoctoral Science Foundation(Grant Nos.2023M742714 and 2023TQ0251),and National Natural Science Foundation of China(Grant No.42177140).Thanks to China Railway Engineering Equipment Group Co.,Ltd.and China Railway Construc-tion Heavy Industry Co.,Ltd.for supporting some TBM cases. (Grant Nos.2023M742714 and 2023TQ0251)

地下空间(英文)

2096-2754

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