Journal of Henan University of Science and Technology(Natural Science), Volume. 46, Issue 4, 73(2025)

Prediction of TBM Penetration Rate Based on NRBO-XGBoost and ABKDE Fusion Interpretable Model

YANG Tengjie1,2, GAO Xinqiang1,2, YANG Zhiguo3, KONG Chao4, DONG Beiyi1,2, LI Tiefeng3, and ZHU Zhengguo1,2
Author Affiliations
  • 1State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang 050043, China
  • 2School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
  • 3China Railway 18th Bureau Group Corporation Limited, Tianjin 300222, China
  • 4School of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang 621000, China
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    YANG Tengjie, GAO Xinqiang, YANG Zhiguo, KONG Chao, DONG Beiyi, LI Tiefeng, ZHU Zhengguo. Prediction of TBM Penetration Rate Based on NRBO-XGBoost and ABKDE Fusion Interpretable Model[J]. Journal of Henan University of Science and Technology(Natural Science), 2025, 46(4): 73

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    Paper Information

    Received: Mar. 10, 2025

    Accepted: Aug. 22, 2025

    Published Online: Aug. 22, 2025

    The Author Email:

    DOI:10.15926/j.cnki.issn1672-6871.2025.04.009

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