Bursting failure behavior of coal and response of acoustic and electromagnetic emissions
LI Zhenlei1，HE Xueqiu1，DOU Linming2，WANG Guifeng2，SONG Dazhao1，LOU Quan3
(1. School of Civil and Resource Engineering，University of Science and Technology Beijing，Beijing 100083，China；
2. Key Laboratory of Deep Coal Resource Mining，Ministry of Education，China University of Mining and Technology，
Xuzhou，Jiangsu 221116，China；3. School of Resource and Safety Engineering，China University of Mining and Technology
(Beijing)，Beijing 100083，China)
Abstract：Aiming at rockburst monitoring and early-warning，laboratory loading and unloading tests on coal specimens with various loading rates were conducted，and the data of full-wave acoustic emission(AE) and electromagnetic emission(EME)，and the images showing the dynamic failure process of coal were respectively collected using an AE-EME synchronous collecting system with a sampling rate of 5 MHz and a high-speed camera with a sampling rate of 1 kHz. Combined with spectrum analysis，correlation analysis，AE velocity tomography analysis，energy analysis，etc，the response law of AE and EME to coal failure as well as the temporal and spatial evolution of coal bursting failure process was studied. The results show that both AE and EME have strong positive correlations with instantaneous stress drop，EME is synchronous with AE in the time serial and the spectrum distributions of EME and AE signals with a dominant low-frequency band are consistent with each other，which indicates that both AE and EME originate from crack-generating within the coal. It is also shown that the whole dynamic failure process of coal consists of several stages of bursting damage with violent ejection of broken coal material and that each stage is positively correlated with an instantaneous load drop. In the developing process of coal failure，there are good correlations among crack extension，stress distribution，energy release and AE location within the coal. Bursting failure is likely to occur in the area close to the free surface characterized by high stress concentration，dense cracks. This research provides a reference for the study of rockburst monitoring and early warning.
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2019, Vol. 38 
