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2019 , Vol. 27 >Issue 1: 80 - 88

DOI: https://doi.org/10.11872/j.issn.1005-2518.2019.01.080

Rock-burst Proneness Prediction Based on Improved RS-TOPSIS Model

  • Kuang WANG ,
  • Xibing LI ,
  • Chunde MA ,
  • Helong GU
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  • 1. School of Resource and Safety Engineering，Central South University，Changsha 410083，Hunan，China
    2. Center for Advanced Study，Central South University，Changsha 410083，Hunan，China

Received date: 2017-12-31

  Revised date: 2018-03-12

  Online published: 2019-03-19

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Abstract

In view of the present situation that the weight determination of the prediction model in rock-burst proneness is insufficient，which leads to the low accuracy of the model，it is not accurate to use the single rough set algebraic view or information view to determine the weight.In order to predict the rock-burst proneness more accurately，the optimal weight was determined according to the algebraic view and information view in the rough set theory.Because the ideal point range of no rock-burst and violent rock-burst is too large，the relationship between rock-burst proneness and evaluation index was corrected and the ideal point matrix of rock-burst grade was established.Half of the interval length of light rock-burst and medium rock-burst was taken as the corresponding interval length of no rock-burst and violent rock-burst，the upper limit and the lower limit were set respectively for the ideal point matrix.The “approximate ideal point” and “interval” indexes were used to optimize the ideal point.Brittleness coefficient，stress strength coefficient and elastic energy index were selected to construct attribute set according to the occurrence conditions of rock-burst.Taking 20 rock-burst cases as the training and testing samples，using the improved rough set method and the modified rock-burst intensity ideal point method to establish the improved RS-TOPSIS model of rock-burst proneness prediction.The model was applied to predict the rock-burst proneness of the Linglong gold mine et al.The results show that the prediction accuracy of the improved sample reaches 95%，which is a certain improvement from the accuracy of 80%.The model can easily and quickly predict the rock-burst proneness，and the prediction accuracy is more accurate.The model has a good effect on predicting the rock-burst proneness of the actual project，provides a more accurate method for predicting the rock-burst proneness of the underground engineering，and the predicted results tallies with the actual situation.The prediction model of rock burst proneness has certain practical value and good application prospects.

Key words： rock-burst prediction; rough set theory; algebraic attributes; informational attributes; TOPSIS method; optimal weight

Cite this article

Kuang WANG , Xibing LI , Chunde MA , Helong GU . Rock-burst Proneness Prediction Based on Improved RS-TOPSIS Model[J]. Gold Science and Technology, 2019 , 27(1) : 80 -88 . DOI: 10.11872/j.issn.1005-2518.2019.01.080

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