Rockburst Prediction Based on Electromagnetic Radiation Technology and its Application

Chao Wang; Wei Peng

doi:10.4028/www.scientific.net/AMR.1010-1012.1564

Paper Titles

Sensitivity Analysis of Slope Stability Influence Factors Based on BP Neural Network
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Study on Gas Flow Law in Goaf of Huangling No.1 Mine Fully-Mechanized Face
p.1548

Study on the Law of Ground Subsidence for Shallow Buried and Thick Coal Seam by Fully Mechanized Caving Mining Method
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Technology Research on Rapid Excavation of Large Section Super-Long Coal Roadway
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Rockburst Prediction Based on Electromagnetic Radiation Technology and its Application
p.1564

The Research and Application of FLAC3D in Optimization of Roadway Support
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DFT Simulation of Copper Activation of Pyrite Surface
p.1577

DFT Study of the Effects of Co and Ni Impurities on the Properties of Pyrite Surface
p.1581

Iron Recovery from Hematite Tailings by a Novel HGMS-Centrifuge Process
p.1585

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Rockburst Prediction Based on Electromagnetic Radiation Technology and its Application

Abstract:

Rock bursts are serious threats to safety and production in coalmines, which are becoming more serious with the increase in mining intensity and depth. Electromagnetic radiation (EMR) always occurs along with coal rock deformation and fracture. EMR monitoring technique, the method using the short period changes of EMR signals before rock burst, has been widely applied to monitor and predict rock burst. This paper mainly studied the relationship of EMR generated by coal rock mass to applied loads and monitored the working face and roadways of coalmine by monitoring instrument, the results show that the EMR monitoring method has excellent performance in predicting rock burst.