李兵, 沈威, 罗武贤, 朱金标, 朱彦飞, 刘汉磊. 基于能量密度相似性的多煤层冲击危险性评价方法[J]. 煤矿安全, 2019, 50(2): 208-213.
    引用本文: 李兵, 沈威, 罗武贤, 朱金标, 朱彦飞, 刘汉磊. 基于能量密度相似性的多煤层冲击危险性评价方法[J]. 煤矿安全, 2019, 50(2): 208-213.
    LI Bing, SHEN Wei, LUO Wuxian, ZHU Jinbiao, ZHU Yanfei, LIU Hanlei. Rock Burst Risk Assessment of Multiple Coal Seams Based on Energy Density Similarity[J]. Safety in Coal Mines, 2019, 50(2): 208-213.
    Citation: LI Bing, SHEN Wei, LUO Wuxian, ZHU Jinbiao, ZHU Yanfei, LIU Hanlei. Rock Burst Risk Assessment of Multiple Coal Seams Based on Energy Density Similarity[J]. Safety in Coal Mines, 2019, 50(2): 208-213.

    基于能量密度相似性的多煤层冲击危险性评价方法

    Rock Burst Risk Assessment of Multiple Coal Seams Based on Energy Density Similarity

    • 摘要: 针对张双楼煤矿西一采区多煤层开采的冲击危险性预测问题,根据地质演化原理,提出了利用上煤层开采数据预测下煤层冲击危险性的方法。首先建立由上煤层的能量密度确定的冲击危险性评价指标,运用该指标预测下煤层的冲击危险区;然后利用结构相似性指数对该预测方法的可行性进行定量评价。研究表明:运用所建立的指标确定的下煤层强冲击危险区域和下煤层开采过程监测的强冲击危险区相似度达到0.858 1;下层煤开采产生的强矿震(大于105 J)和冲击破坏区基本位于指标所确定的强冲击危险区。实践证明所建立的冲击危险性评价指标可有效的预测下煤层强冲击危险区域,提高了多煤层开采冲击矿压预测的准确率。

       

      Abstract: Aiming to the prediction of the rock burst risk of multiple coal seams in the western No.1 mining district of Zhangshuanglou Coal Mine, based on the principles of geological evolution, a method for rock burst risk assessment of the lower coal seam using the mining data of upper coal seam is proposed. Firstly, a risk assessment index determined by the energy density of the upper coal seam is established, and the index is used to predict the hazard area of lower coal seam. And then the structural similarity index is used to quantitatively evaluate the feasibility of the prediction method. The results show that the similarity between the predicted strong burst zone and monitored data during mining process of the lower coal seam reaches 0.858 1 determined by the established index. The strong mine earthquake (energy greater than 105 J) and the damage zone occurred during lower coal mining are basically located in the strong predicted danger zone determined by the indicators. The practice has proved that the established risk assessment index can effectively predict the area of strong rock burst hazard and will improve the accuracy of rock burst risk assessment of multiple coal seams mining.

       

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