采矿与安全工程学报2018，Vol.35Issue(1)：125-132,8.DOI:10.13545/j.cnki.jmse.2018.01.018
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
Rockburst-risk prediction in steep-inclined and extremely thick coal seams based on the multi-factor pattern recognition method
摘要
Abstract
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 probabilis-tic prediction model. The weight of each affecting factor of rockburst in Wudong coal mine is quantita tively 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 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 ex-tremely thick coal seams.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Key words
steep-inclined and extremely thick coal seam/rockburst/geo-dynamic division/multi-factor pattern recognition/danger level classification分类
矿业与冶金引用本文复制引用
荣海,张宏伟,陈建强,赵象卓,孙秉成,常博..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[J].采矿与安全工程学报,2018,35(1):125-132,8.基金项目
国家自然科学基金项目(51674135,51274117) （51674135,51274117）
