Coal and gas outburst dynamic system

被引:190
|
作者
Fan Chaojun [1 ]
Li Sheng [1 ,2 ,3 ]
Luo Mingkun [1 ]
Du Wenzhang [1 ]
Yang Zhenhua [1 ]
机构
[1] Liaoning Tech Univ, Coll Min Engn, Fuxin 123000, Peoples R China
[2] China Univ Min & Technol, State Key Lab GeoMech & Deep Underground Engn, Xuzhou 221116, Peoples R China
[3] China Univ Min & Technol, State Key Lab Coal Resources & Safe Min, Xuzhou 221116, Peoples R China
基金
中国国家自然科学基金;
关键词
Coal and gas outburst; Dynamic system; Coal-gas medium; Geology dynamic environment; Mining disturbance; Stress-seepage-damage coupling model; DEFORMATION; MINES; MODEL; FLOW; LAW;
D O I
10.1016/j.ijmst.2016.11.003
中图分类号
TD [矿业工程];
学科分类号
0819 ;
摘要
Coal and gas outburst is an extremely complex dynamic disaster in coal mine production process which will damage casualties and equipment facilities, and disorder the ventilation system by suddenly ejecting a great amount of coal and gas into roadway or working face. This paper analyzed the interaction among the three essential elements of coal and gas outburst dynamic system. A stress-seepage-damage coupling model was established which can be used to simulate the evolution of the dynamical system, and then the size scale of coal and gas outburst dynamical system was investigated. Results show that the dynamical system is consisted of three essential elements, coal-gas medium (material basis), geology dynamic environment (internal motivation) and mining disturbance (external motivation). On the case of C13 coal seam in Panyi Mine, the dynamical system exists in the range of 8-12 m in front of advancing face. The size scale will be larger where there are large geologic structures. This research plays an important guiding role for developing measures of coal and gas outburst prediction and prevention. (C) 2016 Published by Elsevier B.V. on behalf of China University of Mining & Technology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:49 / 55
页数:7
相关论文
共 50 条
  • [21] Study on Chaos Characteristics of Gas Dynamic Emission Preceding Coal and Gas Outburst
    He Jun
    Chen Xinsheng
    Ouyang Wenfeng
    PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL VII, PTS A AND B, 2008, 7 : 1676 - 1679
  • [22] A simulation system for coal and gas outburst induced by coal uncovering in roadway excavation
    Yuan, Liang
    Wang, Wei
    Wang, Hanpeng
    Zhang, Bing
    Liu, Zhongzhong
    Yu, Guofeng
    Zuo, Yujun
    Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology, 2020, 49 (02): : 205 - 214
  • [23] Coal and gas outburst simulation system based on csiro model
    Wang, Hanpeng
    Zhang, Qinghe
    Yuan, Liang
    Xue, Junhua
    Li, Qingchuan
    Zhang, Bing
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2015, 34 (11): : 2301 - 2308
  • [24] Microseismic dynamic response and characteristic analysis of coal and gas outburst experiment
    Zhu, Quanjie
    Li, Qingsong
    Li, Shaoquan
    Han, Zhenli
    Heng, Xianwei
    Zhang, Pengxiang
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2015, 34 : 3813 - 3821
  • [25] Geometric Model for Physical Simulation System of Coal and Gas Outburst
    Zhang, Shutong
    SHOCK AND VIBRATION, 2020, 2020
  • [26] Development of regional prediction information system of coal and gas outburst
    李胜
    王其江
    栾乔林
    JournalofCoalScience&Engineering(China), 2006, (01) : 79 - 81
  • [27] REAL COAL AND GAS OUTBURST RISK AND OUTBURST CONDITION JUDGMENT OF GASSY COAL
    Yuan, Rui-Fu
    Liu, Yin-Xian
    ENERGY AND MECHANICAL ENGINEERING, 2016, : 238 - 249
  • [28] Regional prediction of coal and gas outburst by geo-dynamic division method
    Chen, Xuehua
    Duan, Kexin
    Zhang, Yongji
    Proceedings in Mining Science and Safety Technology, 2002, : 403 - 406
  • [29] The Power Source for Coal and Gas Outburst
    Lin Hong
    Dameng Gao
    Jiren Wang
    Dan Zheng
    Journal of Mining Science, 2019, 55 : 239 - 246
  • [30] Prevention and dynamic prediction of coal mine gas outburst based on data mining
    Dai, Linchao
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 132 - 132