基于多场耦合分析和微震监测的岩体失稳预警（英文）
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摘要
针对当前岩体失稳预警多从单个角度入手,缺乏对灾害孕育内在机理的深入考虑,开展基于多场耦合分析和微震监测的岩体失稳预警研究。建立考虑损伤的岩体多场耦合模型,并编制相应的解算程序。对微震活动性参数与岩体稳定性之间的关系进行分析,建立多参量预警指标体系。基于D-S数据融合理论,构建多场耦合分析和微震监测融合的岩体失稳预警模型。以某地下矿山采场为研究对象,应用多场耦合模型及其解算程序进行采动响应特征分析,运用微震实测数据验证多场耦合分析的正确性。通过构建的预警模型对采场岩体失稳进行预警,预警结果与现场实际情况吻合,验证了预警模型的有效性。
In order to overcome the limitation that rock mass instability warnings are caused by a lack of deep consideration of the inherent mechanism of disaster formation, early warning signs of rock mass instability were detected and multi-field coupling was analyzed. A multi-field coupling model of a damaged rock mass was established. The relationship between microseismic activity parameters and rock mass stability was analyzed, and a multi-parameter early warning index system was established and its solution program was compiled. Based on the D-S data fusion theory,an early warning model of rock mass instability combining multi-field coupling analysis and microseismic monitoring was constructed. Taking an underground mine stope as an object, the multi-field coupling model and its solution program were used to analyze mining response characteristics. The seismic field data were used to verify the accuracy of the multi-field coupling analysis. The early warning model was used to predict the instability of stope rock mass,and the early warning result is consistent with a real-world scenario.
In order to overcome the limitation that rock mass instability warnings are caused by a lack of deep consideration of the inherent mechanism of disaster formation, early warning signs of rock mass instability were detected and multi-field coupling was analyzed. A multi-field coupling model of a damaged rock mass was established. The relationship between microseismic activity parameters and rock mass stability was analyzed, and a multi-parameter early warning index system was established and its solution program was compiled. Based on the D-S data fusion theory,an early warning model of rock mass instability combining multi-field coupling analysis and microseismic monitoring was constructed. Taking an underground mine stope as an object, the multi-field coupling model and its solution program were used to analyze mining response characteristics. The seismic field data were used to verify the accuracy of the multi-field coupling analysis. The early warning model was used to predict the instability of stope rock mass,and the early warning result is consistent with a real-world scenario.
引文
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[14]JI X M.Study on mechanical and hydraulic behavior of tunnel surrounding rock masses in excavation disturbed zone[J].Chinese Journal of Rock Mechanics and Engineering,2005,24(10):1697-1702.(in Chinese)
[15]DONG L J,LI X B,ZHOU Z L,CHEN G H,MA J.Three-dimensional analytical solution of acoustic emission source location for cuboid monitoring network without pre-measured wave velocity[J].Transactions of Nonferrous Metals Society of China,2015,25(1):293-302.
[16]HU B,YANG S Q,XU P.A nonlinear rheological damage model of hard rock[J].Journal of Central South University,2018,25(7):1665-1677.
[2]LI N.Research on mechanisms of key factors and reliability for microseismic source location[D].Xuzhou:China University of Mining and Technology,2014.(in Chinese)
[3]LURKA A.Location of high seismic activity zones and seismic hazard assessment in Zabrze Bielszowice coal mine using passive tomography[J].Journal of China University of Mining and Technology,2008,18(2):177-181.
[4]SHEN B,KING A,GUO H.Displacement,stress and seismicity in roadway roofs during mining-induced failure[J].International Journal of Rock Mechanics&Mining Sciences,2008,45(5):672-688.
[5]TANG L Z.Study on monitoring and prediction of seismicity and rockburst in a deep mine[D].Changsha:Central South University,2008.(in Chinese)
[6]LU C P,DOU L M,WU X R,WANG H M,QIN Y H.Frequency spectrum analysis on microseismic monitoring and signal differentiation of rock material[J].Chinese Journal of Geotechnical Engineering,2005,27(7):772-775.(in Chinese)
[7]YU Q,TANG C A,LI L C,LI H,CHENG G W.Nucleation process of rockbursts based on microseismic monitoring of deep-buried tunnels for JinpingⅡHydropower Station[J].Chinese Journal of Geotechnical Engineering,2014,36(12):2315-2322.(in Chinese)
[8]FERRONATO M,CASTELLETTO N,GAMBOLATI G.A fully coupled 3-D mixed finite element model of Biot consolidation[J].Journal of Computational Physics,2010,229(12):4813-4830.
[9]LAI Y,LIAO M,KAI H.A constitutive model of frozen saline sandy soil based on energy dissipation theory[J].International Journal of Plasticity,2016,78:84-113.
[10]ZHAO G Y,MA J,DONG L J,LI X B,CHEN G H,ZHANG C X.Classification of mine blasts and microseismic events using starting-up features in seismograms[J].Transactions of Nonferrous Metals Society of China,2015,25(10):3410-3420.
[11]FENG R,CHE S,WANG X,YU N.Trust management scheme based on D-S evidence theory for wireless sensor networks[J].International Journal of Distributed Sensor Networks,2013,2013:1-9.
[12]WU Y,JIAO J,YANG X,XIAO P.Segmentation algorithm for SARimages based on fusion of HMT in the contourlet domain and D-Stheory of evidence[J].Acta Geodaetica et Cartographica Sinica,2011,40(2):148-155.
[13]ZHU Z Q,SHENG Q,ZHANG Y P,LI Y.Research on excavation damage zone of underground powerhouse of Dagangshan hydropower station[J].Chinese Journal of Rock Mechanics and Engineering,2013,32(4):734-739.(in Chinese)
[14]JI X M.Study on mechanical and hydraulic behavior of tunnel surrounding rock masses in excavation disturbed zone[J].Chinese Journal of Rock Mechanics and Engineering,2005,24(10):1697-1702.(in Chinese)
[15]DONG L J,LI X B,ZHOU Z L,CHEN G H,MA J.Three-dimensional analytical solution of acoustic emission source location for cuboid monitoring network without pre-measured wave velocity[J].Transactions of Nonferrous Metals Society of China,2015,25(1):293-302.
[16]HU B,YANG S Q,XU P.A nonlinear rheological damage model of hard rock[J].Journal of Central South University,2018,25(7):1665-1677.