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| Improved geostress grading criteria based on Bayesian optimization |
| DUAN Shuqian1，ZHAO Gengchen1，XIONG Jiecheng1，JIANG Quan2，XU Dingping2，ZHAO Jinshuai3 |
(1. School of Civil Engineering，Zhengzhou University，Zhengzhou，Henan 450001，China；
2. State Key Laboratory of Geomechanics and Geotechnical Engineering，Institute of Rock and Soil Mechanics，Chinese Academy of Sciences，Wuhan，Hubei 430071，China；3. Faculty of Civil Engineering and Mechanics，Jiangsu University，Zhenjiang，Jiangsu 212013，China) |
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Abstract To improve the accuracy of geostress levels assessment，this study collected 115 engineering cases. Through analyzing engineering data and geological factors，three indexes(measurement depth，main lithology and GSI) were selected to improve the strength-stress ratio criterion proposed by the technical code for underground project geological investigation of hydropower and water resources(GB 50287—2016). Then，a multi-index fusion database was established. The intrinsic connection between the Hoek-Brown strength criterion and the strength-stress ratio criterion is elucidated through derivation，leading to the formulation of a modified strength-stress ratio criterion. Subsequently，the parameters of this modified criterion are determined using Bayesian optimization methods. The research results indicate that the accuracy of the improved strength-stress ratio criterion increases by 26.7% compared to the criterion recommended by the standard. This research provides an effective basis for geostress classification，thereby improving the safety and stability of engineering.
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2024, Vol. 43 
