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地下水封洞库施工期洞室围岩力学参数智能反演
曹洋兵, 陈可辛, 黄月, 李尧, 张遂, 黄真萍
raybet体育在线 院报 ›› 2025, Vol. 42 ›› Issue (4) : 149-158.
PDF(8563 KB)
PDF(8563 KB)
地下水封洞库施工期洞室围岩力学参数智能反演
Intelligent Inversion of Mechanical Parameters of Surrounding Rock of Underground Water-Sealed Storage Cavern During Construction
合理准确确定围岩力学参数对于地下水封洞库施工期围岩稳定性分析与支护结构设计具有重要意义。基于地下水封洞库工程地质特征,针对等效连续介质围岩模型,提出施工期洞室围岩力学参数智能反演方法。该方法首先通过室内试验与数值试验确定洞库岩体本构模型,再通过Hoek-Brown强度准则等多种方法估算本构模型中力学参数,分析各参数对围岩变形松弛的敏感性并设计待反演参数的正交试验方案,最后通过数值模拟获得样本并结合进化神经网络模型构建围岩力学参数智能反演模型。综合估算不同岩体基本质量级别下围岩力学参数初始取值范围,可克服智能算法大范围寻优而导致反演结果偏离较大的情况;开展力学参数对围岩变形松弛的敏感性分析,可减少反演参数的数量。以山东某地下水封洞库工程作为典型案例进行反演方法应用检验,获得的围岩拱顶沉降、洞周最大位移、内部变形以及平均松弛深度等参量的相对误差均不超过10%,满足工程应用精度,表明提出的智能反演方法具有较高可行性与可靠性,可为类似工程提供参考。
Reasonably and accurately determining the mechanical parameters of surrounding rock is crucial for the stability analysis of surrounding rock and the design of supporting structures during the construction of underground water-sealed storage caverns. Based on the engineering geological characteristics of underground water-sealed storage caverns, an intelligent inversion method for the mechanical parameters of surrounding rock during construction is proposed for the equivalent continuous medium model. First, the constitutive model of the cavern rock mass is determined via laboratory and numerical tests. Then, the mechanical parameters of the constitutive model are estimated using the Hoek-Brown strength criterion and other methods, and the sensitivity of each parameter to the deformation and relaxation of the surrounding rock is analyzed. Based on these analyses, an orthogonal test scheme for the parameters to be inverted is designed. Finally, an intelligent inversion model for the mechanical parameters of the surrounding rock is constructed using samples obtained from numerical simulations and an evolutionary neural network model. Comprehensively estimating the initial value ranges of the mechanical parameters of the surrounding rock for different classes of rock mass basic quality can avoid large deviations in inversion results caused by the wide optimization range of intelligent algorithms. Sensitivity analysis of the mechanical parameters to the deformation and relaxation of the surrounding rock can reduce the number of inversion parameters. The proposed intelligent inversion method is applied to a typical underground water-sealed storage cavern project in Shandong Province. Results show that the relative errors of the settlement of the peripheral rock vault, the maximum displacement of the cavern circumference, the internal deformation, and the average depth of relaxation are all less than 10%, meeting the precision requirements of engineering applications. Therefore, the proposed intelligent inversion method exhibits high feasibility and reliability through practical application and can serve as a reference for similar projects.
地下水封洞库 / 围岩稳定性 / 等效连续介质围岩模型 / 力学参数 / Hoek-Brown强度准则 / 智能反演 / 岩体本构模型
underground water-sealed storage cavern / stability of surrounding rock / equivalent continuous medium model for surrounding rock / mechanical parameters / Hoek-Brown strength criterion / intelligent inversion / constitutive model for rock mass
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