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 deter- mined. The prediction results of the comprehensive index method are compared with the prediction outc.omes 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 ex- tremely thick coal seams.
出处
《采矿与安全工程学报》
EI
CSCD
北大核心
2018年第1期125-132,共8页
Journal of Mining & Safety Engineering
基金
国家自然科学基金项目(51674135
51274117)
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
steep-inclined and extremely thick coal seam
rockburst
geo-dynamic division
multi-factor pattern recognition： danger level classification
