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《Chinese Journal of Rock Mechanics and Engineering》 2014-10
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PREDICTION MODEL FOR ROCKBURST BASED ON WEIGHTED BACK ANALYSIS AND STANDARDIZED FUZZY COMPREHENSIVE EVALUATION

CHEN Pengyu;YU Hongming;SHI Huapeng;Faculty of Engineering,China University of Geosciences;  
The stress coefficient σθ/σc,the brittleness coefficient σc/σt and the elastic energy index Wet were selected as the evaluation indices,and two classification criteria were chosen for normalization of the rockburst indices. A normal distribution function was selected to construct the membership functions. MATLAB programming was adopted for the back analysis of index weights. A standardized fuzzy comprehensive evaluation model based on the weighted back analysis was established. The model is theoretically sounder and solves the problems of over subjectivity of weights and the unrealistic membership functions existed in the traditional models. 46 sets of rockburst data at home and abroad were selected as the samples for weighted back analysis,and three engineering cases were used to compare the effects of application of different classification criteria and weights. Results show that the prediction model based on back analysis weights is better than the one based on subjective weights. Results from applying different classification criteria are inconsistent with each other,so that further investigation is required.
【Fund】: 国家自然科学基金资助项目(41272377)
【CateGory Index】: TU452
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