Application of probabilistic clustering analysis to rockburst hazard assessment of rock mass

Abstract

Abstract The team of researchers from the Institute of Mining, FEB RAS have developed the rockburts hazards assessment procedure which enjoys successful application in Russian mines. The main objective of the procedure is the continuous computer-automated geomechanical monitoring of rock mass behavior, identification of seismically active zone and determination of static and dynamic parameters for rockburst hazard prediction and assessment in the detected zones. This paper co-authors propose an algorithm to identify fracture souse zones in rock mass and to calculate parameters of these zones by geomechanical monitoring data and using the methods and tools of nonparametric density estimate and probabilistic clustering analysis.