Advance Search
LI Haitao, QI Qingxin, ZHAO Shankun, LI Hongyan, SHU Longyong, CHEN Liqiang. Discussion on generalized “Three Factors” mechanism of coal mine dynamic disaster[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(6): 42-52.
Citation: LI Haitao, QI Qingxin, ZHAO Shankun, LI Hongyan, SHU Longyong, CHEN Liqiang. Discussion on generalized “Three Factors” mechanism of coal mine dynamic disaster[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(6): 42-52.

Discussion on generalized “Three Factors” mechanism of coal mine dynamic disaster

More Information
  • Available Online: April 02, 2023
  • Published Date: June 24, 2021
  • At present,the mechanism research of coal mine dynamic disaster is mostly based on a single factor,and the conclusions obtained are relatively independent,which makes the research of dynamic disaster more complicated. In order to return to the essence of massive accumulation and violent release of elastic properties,and enhance the relevance of related research,this paper puts forward the basic logic of coal mine dynamic disaster formation through common sense reasoning,taking elastic energy accumulation as the clue,including:continuous energy source supply; medium property to ensure that energy form is elastic performance; restriction mechanism that can make the elastic energy accumulate to the disaster level and fail. It is pointed out that“energy source”includes two forms:stable and accidental. The former comes from equivalent loading after mining unloading,and the latter from dynamic load disturbance; in a narrow sense,“medium property” refers to the type of material,but the impact propensity,permeability and other properties restricted by the micro structure are also included in this concept; the restriction mechanism is the key to the accumulation of elastic energy to the disaster level and the violent release of elastic energy,taking the combination of structural plane and medium as the specific form,which is the entry point to achieve human intervention in disaster prevention. They are summarized as“force source factor”,“physical factor”and“structural factor”. Among them,physical factor is the basis of all behaviors,and force source factor and structural factor have close interaction. Based on this,the generalized “Three Factor”mechanism was proposed,and its potential application scenarios and future research directions were given.
  • Related Articles

    [1]LI Huaizhan, SUN Jingchao, GUO Guangli, TANG Chao, ZHENG Hui, ZHANG Liangui, MENG Fanzhen. Evolution characteristics and development height prediction method of water-conducting crack zone in thick weak cemented overlying strata[J]. COAL SCIENCE AND TECHNOLOGY, 2025, 53(2): 289-300. DOI: 10.12438/cst.2023-1931
    [2]WU Jianhong, PAN Junfeng, GAO Jiaming, YAN Yaodong, MA Hongyuan. Research on prediction of the height of water-conducting fracture zone in Huanglong Jurassic Coalfield[J]. COAL SCIENCE AND TECHNOLOGY, 2023, 51(S1): 231-241. DOI: 10.13199/j.cnki.cst.2023-0151
    [3]CHEN Qian, HUANG Lianbing. Gas emission prediction from coalface based on Least Absolute Shrinkage and  Selection Operator and Least Angle Regression[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(7): 171-176.
    [4]MA Li, ZHANG Jianguo, ZHANG Leiming, TU Yuhang, WU Jing, LIAN Kaiyuan. Study on prediction of blast casting results in open-pit minebased on IPSO-ELM model[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(9): 69-75.
    [5]MA Li, WEI Ze, ZOU Li, YI Xin, HE Chengmao. Influence factors and prediction of critical parameters of spontaneous combustion of pulverized coal[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(4): 206-212. DOI: 10.13199/j.cnki.cst.2021.04.025
    [6]SONG Guoliang, YANG Xueting, YANG Shaobo. Study on prediction model of alkali metal contamination characteristics during high alkali coal combustion[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(2).
    [7]QI Qingjie, ZHAO Youxin, LI Xinghua, ZHOU Xinhua. Prediction model of CO emission volume from goaf[J]. COAL SCIENCE AND TECHNOLOGY, 2018, (2).
    [8]Zhu Lingqi Shao Jingjing Wang Fusheng, . Criterion of initial coal spontaneous combustion with prediction model of concentration ratio of CO2 and CO[J]. COAL SCIENCE AND TECHNOLOGY, 2015, (7).
    [9]MENG Zhao-ping GUO Yan-sheng ZHANG Jji-xing, . Application and Prediction Model of Coalbed Methane Content Based on Logging Parameters[J]. COAL SCIENCE AND TECHNOLOGY, 2014, (6).
    [10]Prediction Model of Mining Subsidence with Probability Integration Method Based on Thickness Influences of Loose Layer[J]. COAL SCIENCE AND TECHNOLOGY, 2012, (7).
  • Cited by

    Periodical cited type(8)

    1. 覃美满,寇向宇,鄢德波,董培林,魏星,张柏. 基于组合赋权-TOPSIS的地下矿山安全风险评价研究. 矿冶工程. 2025(01): 35-40 .
    2. 王石,汤明昆,吴锐,刘耀华,刘龙,杨琨,马翔宇. 曹家滩煤矿超远距离管道输送堵塞风险评估. 安全与环境学报. 2025(04): 1275-1285 .
    3. 王政,朱彬,康虔. 基于多维联系云的巷道围岩稳定性评价模型. 有色金属工程. 2024(03): 156-167 .
    4. 柯愈贤,曾杰,胡凯建,沈阳,虞松涛,马永超. 渗透水压作用下全尾砂胶结充填体的三轴力学特性及演变机制. 有色金属科学与工程. 2024(03): 422-431 .
    5. 周晏渔,豆龙,林卫星,王亚军. 基于IAHP-GRA和多维联系云的岩体质量评价和应用. 矿业研究与开发. 2024(08): 173-181 .
    6. 耿向帅. 云模型在高后果区管道风险评价的应用. 油气田地面工程. 2024(08): 39-45+51 .
    7. 孔翔生,王朝隆,刘毓,莫裕哲,龙世武,闫家赫,王运森,邱景平. 高浓度超细尾砂泵送充填智能调压控制系统. 有色金属工程. 2024(09): 130-137 .
    8. 艾纯明,苗泉,张馨,王凤山. 基于层次分析熵权组合法-云模型的充填管道堵塞风险评估. 兰州大学学报(自然科学版). 2024(05): 684-690+699 .

    Other cited types(3)

Catalog

    Article views (452) PDF downloads (1022) Cited by(11)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return