Multi-factor pattern recognition method of rockburst in coal mines

被引:0
|
作者
Zhang, H. W. [1 ]
Li, Y. P. [1 ]
Zhao, X. Z. [1 ]
Chen, J. Q. [2 ]
Ma, L. [3 ]
机构
[1] Liaoning Tech Univ, Min Inst, Fuxin, Peoples R China
[2] Shenhua Xinjiang Energy Co Ltd, Xinjiang, Peoples R China
[3] Fuxin Gongda Min Technol Ltd Co, Fuxin, Peoples R China
关键词
D O I
暂无
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Rockburst is one of the most serious dynamic disasters in coal mine. Controlling and prevention of rockburst includes four aspects: risk prediction, monitoring and early warning, comprehensive prevention measures and personnel protection. Risk prediction is the basis of controlling and prevention of rockburst. Based on geological dynamic zoning theory, under consideration of geological formation, tectonic movement, in-situ stress distribution and energy accumulation, this paper establishes one geological dynamic evaluation index system. Using multi-factor discrimination and sub-unit probabilistic prediction technologies, the risk of rockburst in different mining areas can be determined accordingly, the mining areas can be divided into dangerous area, threat area and non-hazardous area. Finally, the optimization plan and comprehensive prevention and control technology system of the coal mine can be established. The research results have been applied to the prevention and control of coal mine rockburst in China successfully.
引用
收藏
页码:509 / 515
页数:7
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