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Early-warning of rock burst in coal mine by low-frequency electromagnetic radiation
Engineering Geology ( IF 7.4 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.enggeo.2020.105755
Liming Qiu , Zhentang Liu , Enyuan Wang , Xueqiu He , Junjun Feng , Baolin Li

Abstract Rock burst is one of the major geological hazards in coal mines and is difficult to prevent. Faced with this problem, the low-frequency electromagnetic radiation (EMR) test experiments of coal and rock were conducted to explore the characteristics of low-frequency EMR (1 kHz) signals induced form fractures. The relation between EMR signals and paroxysmal fractures was analyzed theoretically. Time-series extraction method was put forward to represent coal and rock paroxysmal fractures. The research results showed that deformation and fracture of coal and rock is caused by the accumulation of paroxysmal and discrete fractures in the samples. The time series obtained by moving average method shows rather good correlation with interior coal rock fractures, which has more obvious precursory characteristics of coal rock instability and dynamic disasters. During uniaxial compression process, coal rocks begin to fracture and low-frequency EMR (1 kHz) signals are more sensitive to local fracture with more abundant precursor information than high-frequency EMR (500 kHz) signals. The paroxysmal and discrete low-frequency EMR (1 kHz) signal is quite sensitive to rock burst, and when the signals representing coal rock fractures show an increasing trend and the high signals last for some time, it can be regarded as the precursor of rock burst disaster in coal mine

中文翻译:

低频电磁辐射对煤矿岩爆的预警

摘要 岩爆是煤矿的主要地质灾害之一,防治难度大。针对这一问题,开展了煤岩低频电磁辐射(EMR)测试实验,探讨了低频电磁辐射(1kHz)信号诱发裂缝的特性。理论上分析了EMR信号与阵发性骨折的关系。提出了时间序列提取方法来表征煤岩阵发性裂缝。研究结果表明,煤岩的变形和破裂是由样品中阵发性和离散性裂缝的堆积引起的。移动平均法得到的时间序列与内部煤岩裂缝具有较好的相关性,具有较为明显的煤岩失稳动力灾害前兆特征。在单轴压缩过程中,煤岩开始破裂,低频EMR(1 kHz)信号对局部破裂更敏感,前兆信息比高频EMR(500 kHz)信号更丰富。阵发性、离散的低频EMR(1 kHz)信号对岩爆非常敏感,当代表煤岩裂缝的信号呈增加趋势且高信号持续一段时间时,可认为是岩爆的前兆。煤矿突发灾害
更新日期:2020-12-01
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