Evaluation of the Rock Burst Intensity of a Cloud Model Based on the CRITIC Method and the Order Relation Analysis Method

被引:0
|
作者
Qianjun Zhang
Chuanju Liu
Sha Guo
Wentong Wang
Haoming Luo
Yongheng Jiang
机构
[1] Southwest University of Science and Technology,School of Environment and Resource
[2] Southwest University of Science and Technology,Shock and Vibration of Engineering Materials and Structures Key Laboratory of Sichuan Province
[3] Changchun Gold Research Institute Co.,undefined
[4] Ltd,undefined
来源
关键词
Cloud model; Rock burst; Grade evaluation; Combination weighting; Sensitivity;
D O I
暂无
中图分类号
学科分类号
摘要
Rock burst has always been a major problem in deep underground engineering with high stress, and rock burst strength evaluation has become an important research topic. To effectively predict the rock burst hazard in underground rock mass engineering, a cloud model (CM) rock burst intensity evaluation method based on the CRITIC method and order relation analysis method (G1) was proposed in this paper. First, a rock’s uniaxial compressive strength σc, tangential stress σθ, uniaxial tensile strength σt, ratio of uniaxial compressive strength to tensile strength σc/σt (brittleness coefficient), ratio of tangential stress to uniaxial compressive strength σθ/σc (stress coefficient), elastic deformation energy index Wet, and depth of cover H were selected as evaluation indices of rock burst intensity. Ninety-five groups of rock burst measured data at home and abroad were selected, and the objective weight and subjective weight of each index were calculated by using the CRITIC method and G1 method, respectively. The comprehensive weight was determined according to the combined weighting method of game theory, and the sensitivity of each evaluation index was analyzed. By utilizing a forward cloud generator, the membership degrees of different rock burst grades were calculated, and then the rock burst intensity grades of the samples were evaluated and compared with the evaluation results of the CRITIC-CM method and G1-CM method and the actual grades. Finally, the rock burst classification ability of the model was analyzed. To better verify the accuracy and reliability of this model, the rock burst case of the W39 line in the Chengchao Iron Mine was analyzed by using this model. The research results show that the rock burst evaluation results based on CRITIC-G1-CM are basically consistent with the actual rock burst grade, and the rock burst intensity grade evaluation model has good practicability and reliability.
引用
收藏
页码:1849 / 1863
页数:14
相关论文
共 50 条
  • [1] Evaluation of the Rock Burst Intensity of a Cloud Model Based on the CRITIC Method and the Order Relation Analysis Method
    Zhang, Qianjun
    Liu, Chuanju
    Guo, Sha
    Wang, Wentong
    Luo, Haoming
    Jiang, Yongheng
    [J]. MINING METALLURGY & EXPLORATION, 2023, 40 (05) : 1849 - 1863
  • [2] Rock Burst Evaluation Using the CRITIC Algorithm-Based Cloud Model
    Wang, Jiachuang
    Huang, Mingjian
    Guo, Jiang
    [J]. FRONTIERS IN PHYSICS, 2021, 8
  • [3] Rock Burst Classification Prediction Method Based on Weight Inverse Analysis Cloud Model
    Yu, Junchao
    Liu, Shangge
    Gao, Ling
    [J]. 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND CIVIL ENGINEERING (ESCE2019), 2019, 283
  • [4] Evaluation of toppling rock slopes using a composite cloud model with DEMATEL-CRITIC method
    Wang, Huan-ling
    Zhao, Xu-fei
    Chen, Hong-jie
    Yi, Kui
    Xie, Wei-chau
    Xu, Wei-ya
    [J]. WATER SCIENCE AND ENGINEERING, 2023, 16 (03) : 280 - 288
  • [5] The method of rock slope stability evaluation based on cloud model
    Gao, Jie
    Qi, Chunming
    Lei, Xiaolin
    [J]. PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING, 2016, 32 : 570 - 574
  • [6] Research on the evaluation of science and technological awards based on improved CRITIC method and cloud model
    [J]. Wang, Y. (wangying31106@163.com), 1600, Hunan University (41):
  • [7] Comprehensive evaluation method of rockburst proneness based on multidimensional normal cloud-CRITIC model
    Liu P.
    Yu B.
    Cao H.
    [J]. Cao, Hui (caohui_ustb@126.com), 1600, Academia Sinica (39): : 3432 - 3439
  • [8] Urban rail transit operation safety evaluation based on an improved CRITIC method and cloud model
    Wu, Hua-Wen
    Zhen, Jin
    Zhang, Jing
    [J]. JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT, 2020, 16
  • [9] Calculation method of evaluators' influence based on group order relation analysis method in bargaining evaluation
    Mao, Qiang
    Liu, Anye
    Sun, Yue
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND MEDICINE (EMIM 2015), 2015, 8 : 1000 - 1004
  • [10] The Evaluation Model and Method Based on Cloud Theory
    Liang L.
    Xing G.-H.
    Wu F.-Y.
    [J]. Dongbei Daxue Xuebao/Journal of Northeastern University, 2019, 40 (06): : 881 - 885