Volume 50 Issue 7
Jul.  2024
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Article Navigation >  Journal of Mine Automation  > 2024  >  50(7): 47-54, 97
JIA Haibin, LIU Aixin, ZHANG Bin, et al. Impact hazard area classification based on multi factor coupled quantitative characterization model[J]. Journal of Mine Automation，2024，50（7）：47-54, 97.  doi: 10.13272/j.issn.1671-251x.2024050015
Citation: JIA Haibin, LIU Aixin, ZHANG Bin, et al. Impact hazard area classification based on multi factor coupled quantitative characterization model[J]. Journal of Mine Automation，2024，50（7）：47-54, 97.  doi: 10.13272/j.issn.1671-251x.2024050015
shu

Impact hazard area classification based on multi factor coupled quantitative characterization model

doi: 10.13272/j.issn.1671-251x.2024050015
  • 1.

    Shandong Xinjulong Energy Co., Ltd., Heze 274918, China

  • 2.

    State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China

  • 3.

    Inner Mongolia Bureau of the National Mine Safety Administration, Hohhot 010010, China

  • Received Date: 2024-05-08
  • Rev Recd Date: 2024-07-20
    • Available Online: 2024-08-02
    Abstract
  • In response to the problem that existing impact hazard assessment methods cannot accurately reflect the features of stress concentration changes under the influence of impact hazard factors, an impact hazard area classification method base on multi factor coupled quantitative characterization model is proposed. Firstly, based on the geological conditions of the underground coal seam, the distribution of roadways, and the scope of mining, the main impact influencing factors are analyzed. Secondly, referring to the multi factor superposition method and stress analysis method respectively, the method determines the influence range and relative stress concentration coefficient of various impact influencing factors. Thirdly, based on the distribution function of micro element strength inside the coal rock mass, a multi factor coupled quantitative characterization model for impact hazard is constructed. Finally, the impact range and relative stress concentration coefficient of the impact influencing factors are input into the quantitative characterization model to obtain the stress distribution results of the coal seam. Based on the stress distribution results, the impact hazard level is classified, and the distribution of impact hazard areas is obtained. Taking the No.3 coal seam of Shandong Xinjulong Energy Co., Ltd. as an example, by analyzing the stress concentration caused by the main impact risk factors such as superimposed faults, large roadways, and goaf, a reasonable impact hazard level classification standard is formulated. The results of the impact hazard area classification of the No.3 coal seam are obtained and verified on site. According to the mining seismic events that occurred before and after the completion of the evaluation work, it can be seen that the impact source is mainly concentrated in the strong impact hazard area. It is consistent with the regional division results, thus verifying that this method can effectively quantitatively divide the coal seam impact hazard area.

     

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