A new empirical chart for coal burst liability classification using Kriging method

Abstract

Coal burst is a catastrophic event that induced by a large variety of certainty and uncertainty factors, and many methods have been proposed to evaluate the risk of this hazard. Conventional evaluation models or empirical criteria are influenced by the complex modelling process or undesirable accuracy. In this study, a total of 147 groups of coal burst records were used to establish the empirical classification model based on elastic energy index (W_et) and impact energy index (K_c). The classification boundaries of coal burst liabilities (CBLs), which was fitted to quantitatively analyze the risk level, and its distribution characteristics are displayed on 2D chart using Kriging method. Additionally, 43 groups of test samples were collected to further validate the reliability of the constructed spatial interpolation model. The results revealed that the classification performance of Kriging model outperforms other uncertainty-based method with accuracy 91%. It can be a valuable and helpful tool for designers to conduct the geological hazard prevention and initial design.

Keywords

coal burst liability / spatial interpolation / Kriging method / empirical classification

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