安全与环境工程2025，Vol.32Issue(5)：47-55,87,10.DOI:10.13578/j.cnki.issn.1671-1556.20250169
基于微震监测的深埋隧道围岩脆性破坏能量特征
Energy characteristics of brittle failure in deep tunnel surrounding rock based on microseismic monitoring
摘要
Abstract
With the continuous development of engineering construction towards deep underground spaces,rockburst early warning technology based on microseismic monitoring has gained increasing attention.To address the prediction of dynamic geological disasters such as rockbursts in hard-brittle surrounding rock under high in-situ stress environments,this study takes a deep-buried tunnel in western China as the engineering background.Through systematic collection of microseismic monitoring data and integration of statistical analysis and numerical simulation methods,the correlation between rockburst disasters and microseismic monitoring parameters was thoroughly investigated.The results are as follows:① When tunnel excavation approaches fault structures,both the number of microseismic events and microseismic energy release show significant increasing trends due to stress concentration effects;② The Kolmogorov-Smirnov normality test reveals that the logarithmic distribution of microseismic energy does not conform to the normal distribution assumption;③ Correlation analysis demonstrates that among various rockburst prediction parameters,apparent volume exhibits the strongest correlation with microseismic energy(R²=0.86),providing a foundation for using apparent volume indicators in rockburst prediction;④ Numerical simulation of local energy release rate(LERR)values reveals that high-risk rockburst zones are primarily concentrated at the tunnel face periphery,which highly corresponds with actual failure zones.This can be attributed to stress concentration effects caused by surrounding rock confinement in these areas.This research provides theoretical support and practical guidance for rockburst early warning in deep underground engineering projects.关键词
岩爆/微震监测/能量/统计分析/数值模拟Key words
rockburst/microseismic monitoring/energy/statistical analysis/numerical simulation分类
资源环境引用本文复制引用
刘晓芬,李凤琼,徐建,罗军尧,侯东奇,江权,刘健..基于微震监测的深埋隧道围岩脆性破坏能量特征[J].安全与环境工程,2025,32(5):47-55,87,10.基金项目
国家自然科学基金项目(52409146) （52409146）
云南省科技人才与平台计划项目(202305AK34003) （202305AK34003）
