东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (9): 1330-1333.DOI: -

• 论著 • 上一篇    下一篇

红透山矿深部开采岩爆潜在区微震活动性研究

赵兴东;李元辉;刘建坡;田军;   

  1. 东北大学资源与土木工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-09-15 发布日期:2013-06-22
  • 通讯作者: Zhao, X.-D.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50574022,50504005);;

Study on microseismic activity in potential rockburst zone during deep excavation in Hongtoushan mine

Zhao, Xing-Dong (1); Li, Yuan-Hui (1); Liu, Jian-Po (1); Tian, Jun (1)   

  1. (1) School of Resources and Civil Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-09-15 Published:2013-06-22
  • Contact: Zhao, X.-D.
  • About author:-
  • Supported by:
    -

摘要: 应用表面应变法测试了红透山矿深部开采地应力值,据此对红透山矿深部岩体的矿岩冲击性进行分析;在-767m水平13采场构建红透山铜矿三维地质模型,布设传感器,建立矿山微震监测系统,对深部地压活动规律进行连续监测,捕捉由地压活动引起的微震活动信息,并实现微震源定位.应用神经网络模式识别方法将微震监测信息中的干扰信号(爆破、凿岩、动力电等)剔除,有效地显现微震监测定位结果;通过区分微震能量释放大小来区分不同微震事件的产生原因;对连续监测的微震活动事件进行时间非线性分析,根据在单位时间内微震事件活动数目来判断岩爆发生的可能,这对于开展矿山动力灾害的预测研究具有重要的现实意义.

关键词: 微震监测, 岩爆, 深部开采, 模式识别, 时间非线性

Abstract: The value of ground stress was measured by the method of surface strain during deep excavation in Hongtoushan Copper Mine to investigate the impact acting on the rockmass in the depths of the mine. A 3-D geological model was developed for the No.13 stope at the elevation of -767 m, where the sensors were arranged properly to form a microseismic monitoring system so as to obtain continuously the rule of the activity of deep ground pressure and seize the information microseismic activities due to ground pressure, thus locating the microseismic source. Then, the interfering signals were rejected in the seized information by the pattern recognition based on neural network, such as the signals of bursting, rock drilling and power supply. The efficient locating result by microseismic monitoring is thus shown, and the cause of different microseismic events can be distinguished with the magnitudes of released microseismic energies. Furthermore, it is probable to predict the rockburst in accordance to the number of microseismic events within a unit time that has been set via the time-dependent nonlinear analysis of the data of microseismic events monitored continuously, which is of actual importance to the prediction of dynamic hazard/disaster in the mine.

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