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| REAL-TIME MICROSEISMIC MONITORING AND ITS CHARACTERISTIC ANALYSIS DURING TBM TUNNELING IN DEEP-BURIED TUNNEL |
| (1. State Key Laboratory of Geomechanics and Geotechnical Engineering,Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan,Hubei 430071,China;2. Ertan Hydropower Development Co.,Ltd.,Chengdu,Sichuan 610051,China;3. Beijing Vibroflotation Engineering Co.,Ltd.,Beijing 100024,China) |
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Abstract According to the difficulties and shortcomings of real-time microseismic monitoring during tunnel boring machine(TBM) tunneling with overburden of over 2 000 m-thick hard and brittle rock mass,the traditional microseismic monitoring technology,used in the mines,is optimized and improved;and the new microseismic monitoring technology is utilized during the TBM tunneling in the diversion tunnel #3 of Jinping II hydropower station. The monitoring results show as follows:(1) The ambient noise is much and complex,but the main characteristic is clear during TBM tunneling;and it can be filtered through the proposed filtering method effectively. (2) There is an obvious relationship that microseismic activity increases with the increase in TBM tunneling rate between microseismic activity of surrounding rock mass and the TBM tunneling rate,vice versa. Microseismic activity is very weak during the period of TBM maintenance,but it becomes most active when TBM working lasts for 4–6 hours after TBM maintenance. (3) Before some rockburst occurred,distribution of microseismic events and energy release gradually convert from discrete to relatively concentrative in spatial domain,the number of microseismic events and the radiated energy increase rapidly in temporal domain;and apparent volume of surrounding rock mass has a sudden increasing trend;energy index has a sudden drop trend in the same time. (4) When microseismic monitoring is carried out during TBM tunneling covered with thickly hard and brittle rock mass,effective microseismic information can be acquired;the evolution characteristic and law of microseismic activity can be found and known;and more accurate early-warning information of rockburst can be provided. Therefore,it is possible and feasible to forecast the occurrence of rockburst by microseismic monitoring.
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Received: 07 September 2010
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| [1] MENDECKI A J. Seismic monitoring in mines[M]. 1st ed. London:Chapman and Hall,1997.
[2] 赵兴东,石长岩,刘建坡,等. 红透山铜矿微震监测系统及其应用[J]. 东北大学学报(自然科学版),2008,29(3):399–402.(ZHAO Xingdong,SHI Changyan,LIU Jianpo,et al. Microseismic monitoring system establishment and its application to Hongtoushan copper mine[J]. Journal of Northeastern University(Natural Science),2008,29(3):399–402.(in Chinese))
[3] 杨志国,于润沧,郭 然,等. 微震监测技术在深井矿山中的应用[J]. 岩石力学与工程学报,2008,27(5):1 066–1 073.(YANG Zhiguo,YU Runcang,GUO Ran,et al.Application of microseismic monitoring to deep mines[J]. Chinese Journal of Rock Mechanics and Engineering,2008,27(5):l 066–1 073.(in Chinese))
[4] 李庶林,尹贤刚,郑文达,等. 凡口铅锌矿多通道微震监测系统及其应用研究[J]. 岩石力学与工程学报,2005,24(12):2 048–2 053. (LI Shulin,YIN Xiangang,ZHENG Wenda,et al. Research of multichannel microseismic monitoring system and its application to Fankou lead-zinc mine[J]. Chinese Journal of Rock Mechanics and Engineering,2005,24(12):2 048–2 053.(in Chinese))
[5] 冯夏庭,周 辉. 雅砻江锦屏II级水电站招标设计阶段引水隧洞围岩稳定性及结构设计研究报告[R]. 武汉:中国科学院武汉岩土力学研究所,2006.(FENG Xiating,ZHOU Hui. Research report on stability of surrounding rock mass and structure design of diversion tunnels of Jinping II hydropower station at Yalong River during invite public bidding and design phase[R]. Wuhan:Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,2006.(in Chinese))
[6] 张镜剑,傅冰骏. 岩爆及其判据和防治[J]. 岩石力学与工程学报,2008,27(10):2 034–2 042.(ZHANG Jingjian,FU Bingjun. Rockburst and its criteria and control[J]. Chinese Journal of Rock Mechanics and Engineering,2008,27(10):2 034–2 042.(in Chinese))
[7] 陈炳瑞,冯夏庭,肖亚勋,等. 深埋隧洞TBM施工过程围岩损伤演化声发射试验[J]. 岩石力学与工程学报,2010,29(8):1 562– 1 570.(CHEN Bingrui,FENG Xiating,XIAO Yaxun,et al. Acoustic emission testing on damage evolution of deep-buried marble tunnel during TBM excavation[J]. Chinese Journal of Rock Mechanics and Engineering,2010,29(8):1 562–1 570.(in Chinese))
[8] GEIGER L. Probability method for the determination of earthquake epicenters from the arrival time only[J]. Bulletin of Saint Louis University,1912,(8):60–71.
[9] 陈炳瑞,冯夏庭,李庶林,等. 基于粒子群算法的岩体微震源分层定位方法[J]. 岩石力学与工程学报,2009,28(4):740–749.(CHEN Bingrui,FENG Xiating,LI Shulin,et al. Microseism source location with hierarchical strategy based on particle swarm optimization[J]. Chinese Journal of Rock Mechanics and Engineering,2009,28(4):740–749.(in Chinese))
[10] CHEN B R,FENG X T,HUANG S L,et al. Spatial-temporal feature of stress field evolution for Jinping II marble excavation under high stress zone[C]// LI J J ed. Proceedings of the 10th Asia-Pacific Conference on Engineering Plasticity and Its Applications. Wuhan:[s. n.],2010:178–183.
[11] 中华人民共和国国家标准编写组. GB50287–2006水力发电工程地质勘察规范[S]. 北京:中国计划出版社,2008.(The National Standards Compilation Group of People′s Republic of China. GB50287–2006 Code for geological investigation on hydropower engineering[S]. Beijing:China Planning Press,2008.(in Chinese))
[12] MENDECKI A J. Real-time quantitative seismology in mines[C]// YOUNG R P ed. Proceedings of the 3rd International Symposium on Rockbursts and Seismicity in Mines. Rotterdam:A. A. Balkema,1993:261–266.
[13] AKI K. Generation and propagation of G-waves from the Niigata earthquake of June 16,1964(part 2):estimation of earthquake moment,released energy,and stress strain drop from the G-wave spectrum[J]. Bulletin of Earthquake Research Institute,1966,44:73–88.
[14] VAN ASWEGEN G,BUTLER A G. Application of quantitative seismology in South African gold mines[C]// YOUNG R P ed. Proceedings of the 3rd International Symposium on Rockbursts and Seismicity in Mines. Rotterdam:A. A. Balkema,1993:261–266. |
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