Construction and Application of Fuzzy Comprehensive Evaluation Model for Rockburst Based on Microseismic Monitoring

被引:33
|
作者
Li, Xuelong [1 ,2 ]
Chen, Deyou [1 ]
Fu, Jianhua [3 ,4 ]
Liu, Shumin [1 ]
Geng, Xuesheng [2 ]
机构
[1] Shandong Univ Sci & Technol, Coll Energy & Min Engn, Qingdao 266590, Peoples R China
[2] Shandong Energy Grp Luxi Min Ind Co Ltd, Li Lou Coal Ind, Yuncheng 274700, Peoples R China
[3] Zhengzhou Coal Ind Grp Corp Ltd Liabil Co, Zhengzhou 450000, Peoples R China
[4] Henan Polytech Univ, Sch Safety Sci & Engn, Jiaozuo 454000, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 21期
基金
中国国家自然科学基金;
关键词
double high" risk evaluation; fuzzy hierarchical comprehensive evaluation model; microseismic events; rockburst; COAL; MECHANISM; SYSTEM; ROCK;
D O I
10.3390/app132112013
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Based on the relationship between rockburst and microseismic event indicators, this study proposes that the risk of rockburst in mine working faces, roadways, and even the entire mine should be studied through the "double high" risk evaluation of microseismic events. The 43 evaluation indexes of rockburst were optimized into eight indexes by using the expert scoring method. Considering the eight indexes as the basic events and the "double high" risk of microseismic events as the top event, the "double high" accident tree of microseismic events was established. According to the qualitative analysis results of the accident tree, the microseismic activity evaluation index was determined, and the "double high" risk evaluation index system was constructed for microseismic events. The system included three first-level indicators and eight second-level indicators. The fuzzy hierarchical comprehensive evaluation model was used to evaluate the "double high" risk of microseismic events in the Yanbei Coal Mine. In this paper, a microseismic monitoring and evaluation index model is constructed to simplify the existing evaluation system, which is convenient to effectively establish the connection between microseismic monitoring data and rockburst index and provide important theoretical support for underground monitoring and rockburst prevention.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Decision Tree Model for Rockburst Prediction Based on Microseismic Monitoring
    Zhao, Hongbo
    Chen, Bingrui
    Zhu, Changxing
    [J]. ADVANCES IN CIVIL ENGINEERING, 2021, 2021
  • [2] APPLICATION OF MICROSEISMIC MONITORING TO STRESS AND ROCKBURST PREDICTION
    CALDER, PN
    ARCHIBALD, JF
    KORENBERG, M
    MOROZ, B
    SEMADENI, T
    YEO, TK
    MCILROY, P
    [J]. CIM BULLETIN, 1986, 79 (887): : 73 - 73
  • [3] Prediction of rockburst based on microseismic monitoring technology
    Wu, A. X.
    Liu, X. H.
    Wang, C. L.
    [J]. ROCK MECHANICS: ACHIEVEMENTS AND AMBITIONS, 2012, : 45 - 50
  • [4] Rockburst mechanism and prediction based on microseismic monitoring
    Ma, Tian-Hui
    Tang, Chun-An
    Tang, Shi-Bin
    Kuang, Liang
    Yu, Qun
    Kong, De-Qing
    Zhu, Xu
    [J]. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2018, 110 : 177 - 188
  • [5] Integrated rockburst early warning model based on fuzzy comprehensive evaluation method
    He, Shengquan
    Song, Dazhao
    Mitri, Hani
    He, Xueqiu
    Chen, Jianqiang
    Li, Zhenlei
    Xue, Yarong
    Chen, Tuo
    [J]. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2021, 142
  • [6] Comprehensive evaluation of rockburst risk by multiparameter characteristics based on microseismic signals: A case study
    Li, Yong-yuan
    Tian, Xin-yuan
    Zhang, Xiu-feng
    Hu, Shun
    Zhang, Rupei
    [J]. Energy Science and Engineering, 2024, 12 (10): : 4624 - 4640
  • [7] Prediction model for rockburst based on weighted back analysis and standardized fuzzy comprehensive evaluation
    Chen, Pengyu
    Yu, Hongming
    Shi, Huapeng
    [J]. Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2014, 33 (10): : 2154 - 2160
  • [8] Application of Mathematical Model Based on Fuzzy Comprehensive Evaluation
    Yang, Cheng-hui
    [J]. INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA 2016), 2016, : 580 - 585
  • [9] A fuzzy comprehensive evaluation methodology for rock burst forecasting using microseismic monitoring
    Cai, Wu
    Dou, Linming
    Zhang, Min
    Cao, Wenzhuo
    Shi, Ji-Quan
    Feng, Longfei
    [J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2018, 80 : 232 - 245
  • [10] Application of Fuzzy Comprehensive Evaluation Model Based on Variable Fuzzy Set Method in Construction Enterprises' ERP Project Risk Evaluation
    Wu Yunna
    Huang Zhijun
    [J]. 2008 INTERNATIONAL CONFERENCE ON RISK MANAGEMENT AND ENGINEERING MANAGEMENT, ICRMEM 2008, PROCEEDINGS, 2008, : 466 - 471