基于权重反分析和标准化模糊综合评价的岩爆预测模型

doi:10.13722/j.cnki.jrme.2014.10.024

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Abstract The stress coefficient ?θ/?c，the brittleness coefficient ?c/?t 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.

Key words： rock mechanics rockburst prediction weight back analysis fuzzy comprehensive evaluation standardization

Received: 26 January 2014

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2014.10.024 OR https://rockmech.whrsm.ac.cn/EN/Y2014/V33/I10/2154

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