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The influence of magmatic rock thickness on fracture and instability law of mining surrounding rock

  • Xue, Yanchao (School of Resources & Civil Engineering, Northeastern University) ;
  • Sun, Wenbin (College of Mining and Safety Engineering, Shandong University of Science and Technology) ;
  • Wu, Quansen (Department of Chemistry and Chemical Engineering, Jining University)
  • Received : 2019.10.21
  • Accepted : 2020.02.27
  • Published : 2020.03.25

Abstract

An understanding of the influence of MR (Magmatic Rock) thickness on the surrounding rock behaviors is essential for the prevention and management of dynamic disasters in coal mining. In this study, we used FLC3D to study the breaking and instability laws of surrounding rock with different MR thicknesses in terms of strata movement, stress and energy. The mechanism of dynamic disasters was revealed. The results show that the thicker the MR is, (1) the smaller the subsidence of the overlying strata is, but the subsidence span of the overlying strata become wider, and the corresponding displacement deformation value of the basin edge become smaller. (2) the slower the growth rate of abutment pressure in front of the working face is, but the peak value is smaller, and the influence range is larger. The peak value decreases rapidly after the breaking, and the stress concentration coefficient is maintained at about 1.31. (3) the slower the peak energy in front of coal wall, but the range of energy concentration increases (isoline "O" type energy circle). Finally, a case study was conducted to verify the disaster-causing mechanism. We anticipate that the research findings presented herein can assist in the control of dynamic hazards.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Shandong Province, Shandong University of Science and Technology (SDUST)

This research was financially supported by the National Natural Science Foundation of China(Grant No.51974172) , China Postdoctoral Science Foundation (2015M572067), Postdoctoral Innovation Project of Shandong Province (152799), Qingdao Postdoctoral Applied Research Project (2015203), Natural Science Foundation of Shandong Province (ZR2019MEE004) and the Shandong University of Science and Technology (SDUST) Research Fund (2018TDJH102).

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