Rockburst-risk prediction in steep-inclined and extremely thick coal seams based on the multi-factor pattern recognition method

被引：0
|
作者：
Rong H. [1 ,2 ]
Zhang H. [1 ,2 ]
Chen J. [3 ]
Zhao X. [1 ,2 ]
Sun B. [3 ]
Chang B. [3 ]
机构：
[1] College of Mining, Liaoning Technical University, Fuxin, 123000, Liaoning
[2] Research Center of Coal Resources Safe Mining and Clean Utilization, Liaoning Technical University, Fuxin, 123000, Liaoning
[3] Shenhua Xinjiang Energy Ltd, Urumqi, 830027, Xinjiang
来源：
Caikuang yu Anquan Gongcheng Xuebao/Journal of Mining and Safety Engineering | 2018年 / 35卷 / 01期
关键词：
Danger level classification; Geo-dynamic division; Multi-factor pattern recognition; Rockburst; Steep-inclined and extremely thick coal seam;
D O I：
10.13545/j.cnki.jmse.2018.01.018
中图分类号：
学科分类号：
摘要：
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 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. © 2018, Editorial Board of Journal of Mining & Safety Engineering. All right reserved.
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页码：125 / 132
页数：7
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