Evaluation of TBM Tunneling Adaptability Based on Dematel, GRA and XGBoost
Zhenyu Lai
School of Civil Engineering, Lanzhou Jiaotong University, China
Weihong Gu
School of Civil Engineering, Lanzhou Jiaotong University, China
Jiaying Hao
School of Art, Lanzhou Jiaotong University, China
In order to accurately control the construction progress of TBM tunnel and the tunneling efficiency of TBM. A comprehensive weight calculation method based on Decision and Laboratory Evaluation (Dematel) and grey correlation Analysis (GRA) is proposed, and the comprehensive weight is introduced into the XGBoost model to guide the splitting of leaf nodes, which is used to predict the daily tunneling depth and tunneling adaptability level of TBM. 24 influencing factors were selected from four aspects: geological conditions, equipment parameters, bad geological conditions and construction operation management....
https://dl.acm.org/doi/10.1145/3677404.3677432
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https://dl.acm.org/doi/10.1145/3677404.3677432
Evaluation of TBM Tunneling Adaptability Based on Dematel, GRA and XGBoost | Proceedings of the 2024 International Academic Conference on Edge Computing, Parallel and Distributed Computing
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