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基于声发射能量分析的煤与瓦斯突出前兆特征试验研究
引用本文:唐巨鹏,郝娜,潘一山,孙胜杰.基于声发射能量分析的煤与瓦斯突出前兆特征试验研究[J].岩石力学与工程学报,2021(1):31-42.
作者姓名:唐巨鹏  郝娜  潘一山  孙胜杰
作者单位:辽宁工程技术大学力学与工程学院;辽宁大学物理学院
基金项目:国家自然科学基金资助项目(51874165);辽宁兴辽英才计划项目(XLYC1902106)。
摘    要:煤与瓦斯突出是煤矿开采过程中最严重的动力灾害,其突出机制不清制约了灾害预警的可靠性和有效性.采用声发射监测技术,以阜新孙家湾突出煤层为研究对象,利用自主研发的真三轴煤与瓦斯突出模拟试验装置,结合DS5系列全信息声发射信号分析测试系统,开展深部矿井不同埋深下煤与瓦斯突出相似模拟试验,分析煤与瓦斯突出能量演化过程,建立声发...

关 键 词:岩石力学  深部开采  煤与瓦斯突出  能量演化  声发射信号  前兆特征

Experimental study on precursor characteristics of coal and gas outbursts based on acoustic emission energy analysis
TANG Jupeng,HAO Na,PAN Yishan,SUN Shengjie.Experimental study on precursor characteristics of coal and gas outbursts based on acoustic emission energy analysis[J].Chinese Journal of Rock Mechanics and Engineering,2021(1):31-42.
Authors:TANG Jupeng  HAO Na  PAN Yishan  SUN Shengjie
Affiliation:(School of Mechanics and Engineering,Liaoning Technical University,Fuxin,Liaoning 123000,China;School of Physics,Liaoning University,Shenyang,Liaoning 110036,China)
Abstract:Coal and gas outbursts are the most serious dynamic disasters in the process of coal mining,and unclear understanding of outburst mechanisms restricts the reliability and effectiveness of disaster early warning. Taking Sunjiawan outburst coal seam in Fuxin as the research object,the similarity experiments of coal and gas outburst with different mining depths were carried out using a self-developed true triaxial test device of coal and gas outburst and the DS5 series full-information acoustic emission signal analysis and testing system. The energy evolution process of coal and gas outburst was analyzed,and the relationship between acoustic emission parameter characteristics and precursor information of coal and gas outburst was established. The results show that the coal and gas outburst process has four stages including early incubation,late incubation,excitation-development and termination and in the process,the acoustic emission energy signals show "steady-rise-peak" variation,indicating that coal and gas outburst is a mechanical process of coal damage and energy accumulation. In the early stage of gestation,the AE energy is at a low level with a steadily rising accumulation,the low energy frequency dominates,and the outburst danger is weak. In the late stage of gestation,the AE energy increases greatly and high-energy frequency dominates,highlighting the risk. The difference of AE energy signals in different periods of outburst can be used as outburst precursor information to monitor the dynamic changes of coal and rock internal fractures in real time and further to guide outburst prediction and early warning. Based on acoustic emission energy,a quantitative index reflecting the danger level of coal and gas outburst in incubation period is defined,which provides scientific reference for the prediction and early warning of dynamic disasters in coal mining.
Keywords:rock mechanics  deep mining  coal and gas outburst  energy evolution  acoustic emission signals  precursor characteristics
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