(1. Key Laboratory of Deep Coal Resource Mining，Ministry of Education，China University of Mining and Technology，Xuzhou，Jiangsu 221116，China；2. State Key Laboratory of Coal Resources and Safe Mining，China University of Mining and Technology，Beijing 100083，China；3. School of Science，China University of Mining and Technology，Xuzhou，Jiangsu 221116，China；4. State Key Laboratory of Coal Resources and Safe Mining，China University of Mining and Technology，Xuzhou，Jiangsu 221116，China)
Abstract：In this paper，a method of multi-parameter comprehensive evaluation to increase the accuracy of rock burst monitoring and pre-warning was established based on the relationships among the micro seismic parameters，stress，acoustic emission，etc. The degree of coal-rock mass deformation and fracture under loading and the parameters during the failure process were normalized. Based on the uniform risk evaluation criterion of rock burst，the rock burst risk was classified into four grades: none，weak，moderate and strong. The rock burst energy and stress conditions under the combined dynamic and static loading were theoretically analyzed，and a theory of rock burst due to the combined dynamic and static load was put forward. With the seismic computed tomography and mining-induced seismic data，the passive velocity tomography was proposed to describe the static stress field and to assess the rock burst risk quantitatively and regularly. The indexes of velocity anomaly and velocity gradient anomaly were constructed. Meanwhile，the bursting strain energy index was used for the short-term spatial-temporal monitoring of dynamic wave field and for the pre-warning of rock burst based on the seismic monitoring. The status of dynamic stress field and levels of rock burst risk can be quantitatively and rapidly analyzed in short time. The rock burst pre-warning technology of “stress field and wave field” was thus constructed. The pre-warning technology was applied in the mining areas of Yima and Datun and the comprehensive prediction accuracy reached more than 80%.
窦林名1，姜耀东2，曹安业1，刘海顺3，巩思园4，蔡 武4，朱广安1. 煤矿冲击矿压动静载的“应力场–震动波场”监测预警技术[J]. 岩石力学与工程学报, 2017, 36(4): 803-811.
DOU Linming1，JIANG Yaodong2，CAO Anye1，LIU Haishun3，GONG Siyuan4，CAI Wu4，ZHU Guang?an1. Monitoring and pre-warning of rockburst hazard with technology of stress field and wave field in underground coalmines. , 2017, 36(4): 803-811.
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2017, Vol. 36 
