Comprehensive evaluation method of rockburst proneness based on multidimensional normal cloud-CRITIC model
LIU Peng1，3，YU Bin2，3，CAO Hui2，3
(1. Beijing General Research Institute of Mining and Metallurgy，Beijing 100160，China；2. BGRIMM Technology Group，Beijing 100160，China；3. National Center for International Research on Green Metal Mining，Beijing 102628，China)
Abstract：The evaluation of rockburst proneness is becoming increasingly important as mining activities reach greater depths below the ground surface. In view of the uncertainty of rockburst proneness evaluation，an improved multidimensional normal cloud-critic rockburst proneness evaluation model is proposed. Based on 220 rockburst cases at home and abroad，combined with forward and backward cloud generator to determine the each rockburst proneness evaluation index belongs to the certainty and reasonable numerical characteristics of each rockburst level. The indexes weight are determined by using the improved CRITIC method. The multi-dimension normal cloud models with different rockburst level are established. The rockburst proneness evaluation level is determined by the comprehensive certainty. Compared with the evaluation results of the entropy weight method-cloud model and the cloud model for rockburst proneness based on the index distance and the uncertainty measure，it shows that the improved multidimensional normal cloud-CRITIC model is effective in rockburst proneness evaluation，and it can provide an effective basis for identification of rockburst hazard area and establishment of prevention and control measures in deep engineering.
2020, Vol. 39 
