某深井矿山岩爆预测模式研究
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摘要
针对某深井矿山的微震监测信息,采用地震学原理进行震源参数量化计算,结合现场岩爆记录,对井下地压活动与微震参数时空变化的响应规律进行了研究。结果表明:一定时间域内微震参数的空间变化反映了岩体的应力分布状态,可做为岩爆危险区识别的依据;一定空间域内微震参数的时间变化与岩体破裂过程紧密相关,震源参数随时间突增、骤减等异常变化表征岩体不同的变形阶段。基于研究结果,提出以应变硬化结束应变软化开始的时间点作为岩爆预警点,构建了该矿岩爆预测的一般模式,实际应用效果较好,为类似矿山的岩爆预测提供了借鉴意义。
In this paper,according to the microseismic monitoring information in a deep mine,the principle of seismology was adopted to make a quantization calculation of microseismic parameters,combined with the rock burst records in underground,the response pattern between the ground pressure activities and temporal-spatial variation of microseismic parameters was further studied.The results show that the spatial variation of microseismic parameters in a time domain reflects the stress distribution in rock mass,which can provide basis to identify the rock burst danger areas.The temporal variation of parameters in a certain area is closely related with the rock failure process,and the abnormal changes of microseismic parameters with time such as sharp increasing,quickly decreasing can characterize the different deformation stages of rock mass.Based on the research results,the point at which the seismic hardening process of rock mass ends and the strain softening process begins can be used as the pre-warning point of rock burst.Finally,a general prediction model for rock burst in the mine is constructed,and has shown good effects in practice,which also provides reference significance for rock burst prediction in similar mines.
In this paper,according to the microseismic monitoring information in a deep mine,the principle of seismology was adopted to make a quantization calculation of microseismic parameters,combined with the rock burst records in underground,the response pattern between the ground pressure activities and temporal-spatial variation of microseismic parameters was further studied.The results show that the spatial variation of microseismic parameters in a time domain reflects the stress distribution in rock mass,which can provide basis to identify the rock burst danger areas.The temporal variation of parameters in a certain area is closely related with the rock failure process,and the abnormal changes of microseismic parameters with time such as sharp increasing,quickly decreasing can characterize the different deformation stages of rock mass.Based on the research results,the point at which the seismic hardening process of rock mass ends and the strain softening process begins can be used as the pre-warning point of rock burst.Finally,a general prediction model for rock burst in the mine is constructed,and has shown good effects in practice,which also provides reference significance for rock burst prediction in similar mines.
引文
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[7]ZHAO X D,ZHAO W K,LI Y H,et al.Study onmining-induced micro seismic activity and its monitoringmethod in the hongtoushan copper mine[C]//TANG C A.Proceedings of the 7th International Symposium onRockburst and Seismicity in Mines.New Jersey:RintonPress,2009:1073-1080.
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[9]王春来,吴爱祥,徐必根,等.某深井矿山微震监测系统建立与网络优化研究[C]//第十届岩石力学与工程大会论文集.北京:中国电力出版社,2008:120-128.
[10]赵兴东,唐春安,李元辉,等.基于微震监测及应力场分析的冲击地压预测方法[J].岩石力学与工程学报,2005,24(1):4746-4749.ZHAO Xing-dong,TANG Chun-an,LI Yuan-hui,et al.Prediction method of rock burst based onmicroseismic monitoring and stress field analysis[J].Chinese Journal of Rock Mechanics and Engineering,2005,24(1):4746-4749.
[11]逄焕东,姜福兴,张兴民.微地震监测技术在矿井灾害防治中的应用[J].金属矿山,2004(12):58-61.PANG Huan-don,JIANG Fu-xing,ZHANG Xing-ming.Application of microseismic monitoring method indisaster prevention of underground mine[J].MetalMine,2004(12):58-61.
[12]MENDECKI A J.Seismic monitoring in mines[M].London:Chapman and Hall Press,1997:21-42.
[13]唐礼忠.深井矿山地震活动与岩爆监测及预测研究[D].长沙:中南大学资源与安全学院,2008.
[2]赵向东,陈波,姜福兴.微地震工程应用研究[J].岩石力学与工程学报,2002,21(2):2609-2612.ZHAO Xiang-dong,CHEN Bo,JIANG Fu-xing.Studyof micro-seismic engineering applications[J].ChineseJournal of Rock Mechanics and Engineering,2002,21(2):2609-2612.
[3]SRINIVASAN C.Precursory monitoring of impendingrockbursts in Kolar gold mines from microseismicemissions at deeper levels[J].International Journal ofRock Mechanics and Mining Sciences,1999,36:941-948.
[4]IANNACCHIONE A T,BAJPAYEE T S,EDWARDS JL.Forecasting roof falls with monitoring technologies–aLook at the moonee colliery experience[C]//ProceedingsOf the 24th International Conference on Ground Controlin Mining.Morgantown:West Virginia University Press,2005:44-51.
[5]MANSUROV V A.Prediction of rockbursts by analysisof induced seismicity data[J].International Journal ofRock Mechanics and Mining Sciences,2001,38:893-901.
[6]TANG L Z,XIA K W.Seismological method forprediction of areal rockbursts in deep mine with seismicsource mechanism and unstable failure theory[J].Journalof Central South University of Technology,2010,5:947-953.
[7]ZHAO X D,ZHAO W K,LI Y H,et al.Study onmining-induced micro seismic activity and its monitoringmethod in the hongtoushan copper mine[C]//TANG C A.Proceedings of the 7th International Symposium onRockburst and Seismicity in Mines.New Jersey:RintonPress,2009:1073-1080.
[8]WANG Chun-lai,WU Ai-xiang,LIU Xia0-hui.Mechani-sms of microseismic events occurred in deep heard-rockmine of china[C]//TANG C A.Proceedings of the 7thInternational Symposium on Rockburst and Seismicity inMines.New Jersey:Rinton Press,2009:245-251.
[9]王春来,吴爱祥,徐必根,等.某深井矿山微震监测系统建立与网络优化研究[C]//第十届岩石力学与工程大会论文集.北京:中国电力出版社,2008:120-128.
[10]赵兴东,唐春安,李元辉,等.基于微震监测及应力场分析的冲击地压预测方法[J].岩石力学与工程学报,2005,24(1):4746-4749.ZHAO Xing-dong,TANG Chun-an,LI Yuan-hui,et al.Prediction method of rock burst based onmicroseismic monitoring and stress field analysis[J].Chinese Journal of Rock Mechanics and Engineering,2005,24(1):4746-4749.
[11]逄焕东,姜福兴,张兴民.微地震监测技术在矿井灾害防治中的应用[J].金属矿山,2004(12):58-61.PANG Huan-don,JIANG Fu-xing,ZHANG Xing-ming.Application of microseismic monitoring method indisaster prevention of underground mine[J].MetalMine,2004(12):58-61.
[12]MENDECKI A J.Seismic monitoring in mines[M].London:Chapman and Hall Press,1997:21-42.
[13]唐礼忠.深井矿山地震活动与岩爆监测及预测研究[D].长沙:中南大学资源与安全学院,2008.
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