Predicting rockburst tendency based on fuzzy matter-element model

摘要

Rockburst is a dynamic phenomenon caused by multiple factors associated with mining excavations and activities, It is very hard to make predictions accurately. In this study, a multi-index model, based on fuzzy matter-element theory, information entropy theory and closeness degree rules. are established to predict rockburst tendency. The basic evaluation indices introduced in this model include the rock brittleness coefficient B, the strength/stress ratio R-c/sigma(1), the impact energy tendency W-CF, and the rock integrity coefficient K-nu. Ore body 10 of Huize Lead-Zinc Mine in China is selected as a case study for the establishment of the model, while the Cth and ore straum served for the model verification. In different rock strata, this model is compared with the origin methods for predicting the rockburst tendency. The results are compared with those obtained by other traditional methods. The cases verified that the proposed model can predict rockburst in a reliable mode; this is a meaningful discovery for predicting rockburst tendency. (C) 2015 Elsevier Ltd. All rights reserved.