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Gold Science and Technology ›› 2018, Vol. 26 ›› Issue (3): 365-371.doi: 10.11872/j.issn.1005-2518.2018.03.365

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Rockburst Prediction Method Based on AHP and Entropy Weight TOPSIS Model

LU Furan，CHEN Jianhong   

  1. School of Resources and Safety Engineering，Central South University，Changsha 410083，Hunan，China
  • Received:2017-05-27 Revised:2017-08-09 Online:2018-06-30 Published:2018-07-28

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Abstract: To accurately predict the rockburst of underground metal mine，a AHP and entropy weight TOPSIS model was established.The predictors of rockburst were selected from lithological，stress and rock conditions，the weight of uniaxial compressive strength 〖σ〗_c，the rate of rock’s compressive tensile strength 〖σ〗_c/σ_t，the elastic energy index of rock 〖W〗_et，the stress coefficient of rock 〖σ〗_θ/σ_c and integrality coefficient 〖K〗_v were calculated as the predictors of rockburst by AHP and entropy weight method.Then the closeness of rockburst levels’ critical values and realistic mines’ data were calculated by TOPSIS，combined with the weight calculated by AHP and entropy weight method.The occurrence of rockburst was predicted by comparing these two closenesses.Case study shows the predicted result of the established model is consistent well with the practical engineering，so the AHP and entropy weight TOPSIS model can be used to predict rockburst of underground metal mine accurately.

Key words: analytic hierarchy process, entropy weight method, technique for order preference by similarity to ideal solution, rockburst, prediction index, weight allocation, metal mine, deep mining

CLC Number: 

  • TU45
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