岩体分类
介观物理学
地质学
岩土工程
接头(建筑物)
变形(气象学)
理论(学习稳定性)
比例(比率)
失效模式及影响分析
结构工程
工程类
物理
计算机科学
量子力学
海洋学
机器学习
作者
Duanyang Zhuang,Zexu Ning,Albert Argilaga,Keping Ma,Chun’an Tang,Jinlong Li,Wenjie Xu,Shuai Zhang
标识
DOI:10.1016/j.trgeo.2023.101109
摘要
Random defects at different scales are the crucial cause of damage evolution and cascade transfer in rocks. For a large-scale underground cavern, the rock mesoscopic heterogeneity and macroscopic random joints are inevitable factors of rock stability, which needs to be further studied. In this study, a multi-scale analysis method for the stability of jointed rock mass in large underground caverns is proposed. The statistical damage theory is used to describe the mesoscopic heterogeneous rock damage. Monte Carlo simulation and measured joint geometric information are combined to reconstruct the macroscopic random joint network of rock mass. The integrated analysis of mesoscopic heterogeneity of rock and the macroscopic response of random jointed rock mass is performed by Rock Failure Process Analysis (RFPA) system. The research shows that the existence of joint affects the failure mode of rock mass and strengthens the heterogeneity. The representative elementary volume (REV) of jointed rock mass and its equivalent mechanical parameters are determined and used in the stability analysis of a large-scale underground cavern project. Results show a good agreement with the in-situ monitoring deformation of surrounding rock mass, which verifies the effectiveness of the rock mass multi-scale analysis method.
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