Real-time hard-rock tunnel prediction model for rock mass classification using CatBoost integrated with Sequential Model-Based Optimization
Yin Bo a,b Quansheng Liu a,b Xing Huang c, Yucong Pan a,b
a Key Laboratory of Geotechnical and Structural Engineering Safety of Hubei Province, School of Civil Engineering, Wuhan University, Wuhan, Hubei 430072, China
b State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, Hubei 430072, China
c State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, China
Received 26 June 2021, Revised 19 December 2021, Accepted 21 February 2022, Available online 3 March 2022, Version of Record 3 March 2022.
https://www.sciencedirect.com/science/article/abs/pii/S0886779822000888
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https://www.sciencedirect.com/science/article/abs/pii/S0886779822000888
Real-time hard-rock tunnel prediction model for rock mass classification using CatBoost integrated with Sequential Model-Based Optimization
www.sciencedirect.comIn-time perception of changing geological conditions is crucial for safe and efficient TBM tunneling. Precisely detecting or predicting the rock mass …