PAN Jun-feng, XIA Yong-xue, FENG Mei-hua, et al. Study of II class mining technical factors influencing results of pre-assessment of rockburst risk[J]. 2017, 38(S1): 367-373.
DOI:
PAN Jun-feng, XIA Yong-xue, FENG Mei-hua, et al. Study of II class mining technical factors influencing results of pre-assessment of rockburst risk[J]. 2017, 38(S1): 367-373.DOI: 10.16285/j.rsm.2017.S1.045.
Study of II class mining technical factors influencing results of pre-assessment of rockburst risk
To overcome the deficiency of current risk pre-assessment method
the II class mining technical factors are defined and pointed out to reveal how the II class mining technical factors inherently induce the abnormal vibrations of coal and rock
and trigger disasters.The results show that: the greater the rate of face advance mining
coal and rock shake more frequent and the greater probability of the high-energy shock event
To decrease in low-level microseismic events
and high-energy event frequency increased
overall microseismic activity enhancement when the workface with a uneven advance rate
The method of blasting to relief stress in coal seam aimed the burst start-up areas of the roadway's sides
So the energy released of per kg dynamite during blasting much larger than the amount of energy released of blasting in roof or ground; the 7-18 h is the most effective period of dangerous lift. The original balance of stress field were broken by the repair in roadway's sides; the wall rock from a relatively stable state becomes unstable; the greater the rate of repair in roadway's sides
and the greater probability of the high-energy shock event. A sharp rise in the various levels of microseismic events
and the risk associated with high-energy events because of the ceasing and recovery production of workface.II class mining technology factors temporary intervention
Analysis of fault rockburst based on shear beam model for interface failure
Study on rockburst using stick slip model(I)
Prediction of rockburst by genetic algorithm-neural network
Application of multilayer perceptrons based on genetic simulated annealing algorithm to rockburst
Optimal design of lining structure in artificial cavern of compressed air energy storage
Related Author
YU Hai-jun
PAN Yi-shan
ZHAO Yang-feng
LI Dong-wei
PI Wen-li
YIN Guang-zhi
DAI Gao-fei
YAN He
Related Institution
Department of Mechanics and Engineering Sciences, Liaoning Technical University
The Key Laboratory of the Exploitation of Southwest Resources & the Environmental Hazards Control Engineering, Ministry of Education, Chongqing University
Department of Geotechnical Engineering, Tongji University
College of Resources and Environmental Sciences, Chongqing University
Key Laboratory of the Exploitation of Southwest Resources & the Environmental Hazards Control Engineering, Ministry of Education, Chongqing University