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

YANG Tengjie; GAO Xinqiang; YANG Zhiguo; KONG Chao; DONG Beiyi; LI Tiefeng; ZHU Zhengguo

doi:10.15926/j.cnki.issn1672-6871.2025.04.009

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 Tengjie^1,2, GAO Xinqiang^1,2, YANG Zhiguo³, KONG Chao⁴, DONG Beiyi^1,2, LI Tiefeng³, and ZHU Zhengguo^1,2

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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