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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摘要为提高地应力级别评估的准确率，收集115组工程实例，通过对工程数据及地质因素的分析，建立多岩体指标融合数据库。选取测点埋深、主要岩性和GSI三个指标对《水利发电工程地质勘察规范》(GB 50287—2016)提出的强度应力比判据进行改进。通过对Hoek-Brown强度准则的推导，得到其与强度应力比判据的内在联系，进而设计修正参数，并借助贝叶斯优化方法确定改进后的强度应力比判据。研究结果表明：改进后的强度应力比判据较规范推荐判据的准确率提升了26.7%。该研究可为地应力分级提供有效依据，进而提高工程的安全性和稳定性。

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	段淑倩1
	赵庚辰1
	熊杰程1
	江权2
	徐鼎平2
	赵金帅3

关键词 ：岩石力学, 高地应力, 强度应力比判据, 地下工程, 贝叶斯优化

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

引用本文:

段淑倩1，赵庚辰1，熊杰程1，江权2，徐鼎平2，赵金帅3. 基于贝叶斯优化的改进地应力分级判据[J]. 岩石力学与工程学报, 2024, 43(10): 2405-2413.
DUAN Shuqian1，ZHAO Gengchen1，XIONG Jiecheng1，JIANG Quan2，XU Dingping2，ZHAO Jinshuai3. Improved geostress grading criteria based on Bayesian optimization. , 2024, 43(10): 2405-2413.

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

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