Geomechanics and Engineering

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EMR: An effective method for monitoring and warning of rock burst hazard

  • Song, Dazhao (School of Civil and Resource Engineering, University of Science and Technology Beijing) ;
  • Wang, Enyuan (School of Safety Engineering, China University of Mining and Technology) ;
  • Li, Zhonghui (School of Safety Engineering, China University of Mining and Technology) ;
  • Qiu, Liming (School of Safety Engineering, China University of Mining and Technology) ;
  • Xu, Zhaoyong (School of Safety Engineering, China University of Mining and Technology)
  • Received : 2015.11.03
  • Accepted : 2016.01.13
  • Published : 2017.01.25
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Abstract

Rock burst may cause serious casualties and property losses, and how to conduct effective monitoring and warning is the key to avoid this disaster. In this paper, we reviewed both the rock burst mechanism and the principle of using electromagnetic radiation (EMR) from coal rock to monitor and forewarn rock burst, and systematically studied EMR monitored data of 4 rock bursts of Qianqiu Coal Mine, Yima Coal Group, Co. Ltd. Results show that (1) Before rock burst occurrence, there is a breeding process for stress accumulation and energy concentration inside the coal rock mass subject to external stresses, which causes it to crack, emitting a large amount of EMR; when the EMR level reaches a certain intensity, which reveals that deformation and fracture inside the coal rock mass have become serious, rock burst may occur anytime and it's necessary to implement an early warning. (2) Monitored EMR indicators such as its intensity and pulses amount are well and positively correlated before rock bursts occurs, generally showing a rising trend for more than 5 continuous days either slowly or dramatically, and the disaster bursts generally occurs at the lower level within 48 h after reaching its peak intensity. (3) The rank of EMR signals sensitive to rock burst in a descending order is maximum EMR intensity > rate of change in EMR intensity > maximum amount of EMR pulses > rate of change in the amount of EMR pulses.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China, Central Universities

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