一种基于钻孔监测与宏细观耦合模拟的地下洞室围岩破裂分析方法
By using a method that combines borehole monitoring with macro- and micro-scale coupled simulation, a PFC3D-FLAC3D coupled model is constructed, which provides real-time feedback and correction parameters. This solves the problems of disconnect between monitoring and simulation and lack of micro-scale analysis in traditional methods, and enables high-precision prediction and risk warning of rock fracturing in deep underground engineering.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF ROCK & SOIL MECHANICS CHINESE ACAD OF SCI
- Filing Date
- 2025-10-20
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional single-scale analysis methods are difficult to accurately predict the fracture development law of surrounding rock in deep underground engineering, leading to increased construction risks and engineering costs. Existing technologies cannot achieve dynamic interactive verification of monitoring and simulation and micro-scale analysis, and cannot meet the refined requirements of deep engineering for surrounding rock fracture analysis.
By using a method based on borehole monitoring and macro-micro coupled simulation, macro- and micro-mechanical parameters of the surrounding rock of underground caverns are collected, a PFC3D-FLAC3D coupled model is constructed, and the model parameters are corrected in real time by combining borehole television and ultrasonic testing, so as to achieve multi-scale and high-precision fracture prediction.
It enables full-scale analysis from microscopic mineral particle bonding failure to macroscopic rock mass fracture, improves the prediction accuracy of fracture depth and morphology, ensures that the prediction results are highly consistent with the actual situation on site, provides accurate basis for judging the timing of support and optimizing the scheme, and reduces the probability of engineering disasters.
Smart Images

Figure CN121457274B_ABST
Abstract
Citation Information
Patent Citations
High-precision prediction method for fracture degree of surrounding rock of deep tunnel
CN116381819A