深部金属矿山RS-TOPSIS岩爆预测模型及其应用

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Abstract Based on the method of technique for order preference by similarity to ideal solution(TOPSIS)，5 indices including uniaxial compressive strength，the ratio of rocks compressive tensile strength，the stress coefficient of rock，the elastic energy index of rock and integrality coefficientwere chosen as the predictor variables of rockburst. 20 rockburst cases were taken as the training and testing samples，according to the classification standard of rockburst，the supports and weighs of predictor variables were calculated by rough set theory，the RS-TOPSIS model of rockburst prediction was established. And the model was applied to practical engineering. The result shows that the method of fixing classification by calculating the relative closeness is easy；the RS-TOPSIS model of rockburst prediction has very high accuracy，the correct rate is 90%；the prediction results of Xintong mine agree well with the engineering practice. So，the RS-TOPSIS method is of practical value，can be used to predict the rockburst in deep metal mines.

Key words： rock mechanics deep metal mine rockburst prediction technique for order preference by similarity to ideal solution rough set theory closeness

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	Articles by authors
	ZHOU Keping1
	2
	LEI Tao1
	2
	HU Jianhua1
	2

Cite this article:

ZHOU Keping1,2,LEI Tao1, et al. RS-TOPSIS MODEL OF ROCKBURST PREDICTION IN DEEP METAL MINES AND ITS APPLICATION[J]. , 2013, 32(s2): 3705-3711.

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https://rockmech.whrsm.ac.cn/EN/Y2013/V32/Is2/3705

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