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Experimental study on radon exhalation characteristics of coal samples under varying gas pressures

  • Jianping Wei
  • , Pengfei Cui
  • , Zhongwei Chen
  • , Banghua Yao
  • , Chunshan Zheng
  • , Bing Jia
  • , Xiaochuan Wang
  • Henan Polytechnic University
  • Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization
  • Shandong University of Science and Technology
  • University of Queensland
  • Anhui University of Science and Technology

科研成果: 期刊稿件文章同行评审

15 引用 (Scopus)

摘要

Coal and gas outburst during underground mining operations negatively affects the mining safety and decrease the mining productivity. Current outburst prediction has been largely relying on seismic monitoring which is passive and extremely difficult to quantify. As coal produces radon in the damage process, this unique feature potentially offer a new way to reliably predict the outburst incidents. Therefore, in this study, a series of experiments were carried out under different gas pressures adopting the new coal-rock triaxial-loading radon exhalation test system, which aim to investigate the effect of gas depletion pressures on the characteristics of radon exhalation. The data of stress-strain, radon concentration, and acoustic emission were monitored simultaneously in the dynamic loading processes, and were compared and discussed in detail. Experimental results show that in the loading process, radon concentration shows clear step changes and has good consistency with the results of the coal deformation stages according to the acoustic emission count, verifying the feasibility of coal deformation and fracturing prediction based on radon concentration. Meanwhile, at the early stage of loading, the peak value of radon concentration reduces gradually with the increase in gas pressure. Furthermore, relationship between the maximum value of radon concentration and gas pressure is obtained. This work presents a new method to link gas pressure, coal deformation and fracture prediction together based on radon concentration, which could provide significant guidance for the accurate prediction of coal and rock dynamic disasters.

源语言英语
页(从-至)1006-1014
页数9
期刊Results in Physics
10
DOI
出版状态已出版 - 9月 2018
已对外发布

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