基于多因素模式识别的急倾斜特厚煤层冲击地压危险性预测
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  • 英文篇名:Rockburst-risk prediction in steep-inclined and extremely thick coal seams based on the multi-factor pattern recognition method
  • 作者:荣海 ; 张宏伟 ; 陈建强 ; 赵象卓 ; 孙秉成 ; 常博
  • 英文作者:RONG Hai;ZHANG Hongwei;CHEN Jianqiang;ZHAO Xiangzhuo;SUN Bingcheng;CHANG Bo;College of Mining,Liaoning Technical University;Research Center of Coal Resources Safe Mining and Clean Utilization,Liaoning Technical University;Shenhua Xinjiang Energy Ltd;
  • 关键词:急倾斜特厚煤层 ; 冲击地压 ; 地质动力区划 ; 多因素模式识别 ; 危险等级划分
  • 英文关键词:steep-inclined and extremely thick coal seam;;rockburst;;geo-dynamic division;;multi-factor pattern recognition;;danger level classification
  • 中文刊名:KSYL
  • 英文刊名:Journal of Mining & Safety Engineering
  • 机构:辽宁工程技术大学矿业学院;辽宁工程技术大学煤炭资源安全开采与洁净利用工程研究中心;神华新疆能源有限责任公司;
  • 出版日期:2018-01-15
  • 出版单位:采矿与安全工程学报
  • 年:2018
  • 期:v.35;No.136
  • 基金:国家自然科学基金项目(51674135,51274117)
  • 语种:中文;
  • 页:KSYL201801020
  • 页数:8
  • CN:01
  • ISSN:32-1760/TD
  • 分类号:129-136
摘要
为了预测急倾斜特厚煤层不同区域的冲击地压危险程度,以乌东煤矿南采区为研究对象,以地质动力区划方法为依托,分析了冲击地压的主要诱发因素。地质动力区划方法确定了断裂活动特征与井田构造形式,在分析了急倾斜特厚煤层原始应力的基础上,确定了乌东煤矿南采区冲击地压主要发生在高应力区和应力梯度区。在此基础上,提出了急倾斜特厚煤层冲击地压危险性的多因素模式识别预测方法,定量分析了乌东煤矿冲击地压各影响因素的权重,并建立了相应的概率预测模型,最终划分了乌东煤矿不同区域冲击地压危险性等级。应用综合指数法与多因素模式识别方法的预测结果进行了对比分析,结果表明多因素模式识别方法在急倾斜特厚煤层的冲击危险性预测中取得了较好的效果。
        In order to predict the rockburst risk in steep-inclined and extremely thick coal seams, the main inducing factors of rockburst in the southern mining area of Wudong coal mine are investigated by adopting the geo-dynamic division method. This method is adopted to determine the characteristics of fault developments and well field structures. Furthermore, based on the in-situ stress of steep-inclined and extremely thick coal seam, it is found that the rockburst in southern mining area of Wudong coal mine mainly occurs in areas with high stress and stress gradient. As a result, the multi-factor pattern recognition method for predicting rockburst risk is put forward, as well as the corresponding probabilistic prediction model. The weight of each affecting factor of rockburst in Wudong coal mine is quantitatively analyzed. Finally the rockburst-risk level of different regions in Wudong coal mine are determined. The prediction results of the comprehensive index method are compared with the prediction outcomes of the multi-factor pattern recognition method. Results show that the multi-factor pattern recognition method have good performance in predicting the rockburst risk of steep-inclined and extremely thick coal seams.
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