基于贝叶斯优化的改进地应力分级判据

doi:10.13722/j.cnki.jrme.2024.0158

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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.

Key words： rock mechanics high geostress strength-stress ratio criterion underground engineering Bayesian optimization

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	Articles by authors
	DUAN Shuqian1
	ZHAO Gengchen1
	XIONG Jiecheng1
	JIANG Quan2
	XU Dingping2
	ZHAO Jinshuai3

Cite this article:

DUAN Shuqian1,ZHAO Gengchen1,XIONG Jiecheng1, et al. Improved geostress grading criteria based on Bayesian optimization[J]. , 2024, 43(10): 2405-2413.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2024.0158 OR https://rockmech.whrsm.ac.cn/EN/Y2024/V43/I10/2405

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