摘要
为从整体上深入了解某铅锌硫铁矿的微震活动特征,避免单个指标在描述岩体失稳复杂信息时的局限性,选取能量与视体积比值降幅ΔE I、累积微震数、微震活跃度βn、区域集中度、G-R关系的曲率参数η值等5项特征参数,进行灰色关联分析.结合熵权法,发现累积微震数以及能量与视体积比值降幅对地压灾害形成具有重要驱动作用.并利用灰色综合分析对每个监测周期的地压风险进行赋分,建立一个可随后续微震监测数据持续优化的预警预报模型,且该模型在后期监测工作中表现良好.
Based on a comprehensive analysis of the microseismic activity characteristics of a lead-zinc-pyrite mine,this study aims to overcome the limitations of using individual indicators to describe the complex information of rock mass instability.Five characteristic parameters,i.e.the decrease rate of energy to apparent volume ratioΔE I,cumulative number of microseismic events,microseismic activity indexβn,regional concentration degree,and the curvature parameterη-value of the G-R relation are selected.Grey relational analysis is applied to these parameters.Combined with the entropy weight method,it is found that the cumulative number of microseismic events and the decrease rate of energy to apparent volume ratio play significant driving roles in the formation of ground pressure hazards.Furthermore,grey comprehensive analysis is used to assign risk scores for each monitoring period,establishing an early warning and prediction model that can be continuously optimized with subsequent microseismic monitoring data.The model has demonstrated satisfactory performance in later monitoring practices.
作者
周舟
朱卓慧
岳义芬
胡禧晶
甄海
ZHOU Zhou;ZHU Zhuohui;YUE Yifen;HU Xijing;ZHEN Hai(School of Resources,Environment and Safety Engineering,Hunan University of Science and Technology,Xiangtan 411201,China;School of Green Building and Low-Carbon Technology,Guangxi Vocational College of Mechanical and Electrical Engineering,Nanning 530007,China)
出处
《矿业工程研究》
2025年第4期30-36,共7页
Mineral Engineering Research
基金
湖南省自然科学基金资助项目(2021JJ30268)。
关键词
微震监测
灰色分析
岩体稳定性
微震能量
累积微震数
microseismic monitoring
grey analysis
rock stability
microseismic energy
cumulative microseismic count
