ABSTRACT
Rock bursts induced by the superposition of static and dynamic loads could cause rock ejection, casualties, deformation of the supporting structures and damage of the equipment on site, hence making it crucial to study the topic in depth. A novel application of Rock Engineering Systems incorporating a Probabilistic Expert Semi-Quantitative (PESQ) coding methodology is proposed in this paper to analyze the importance of factors that could affect damage due to rock burst. To that end, six parameters—the ratio of total maximum principal stress to UCS, type of support system, excavation span, geology condition, approximate Peak Particle Velocity (PPV) and seismic event magnitude—are selected from reports of Australian and Canadian underground rock mines. The distribution of Cause and Effect for each parameter and their corresponding importances can be obtained from the probabilistic coding. Results show that high interactive probability parameters are excavation span (P3) and PPV (P5); whereas the geology factor (P4) has the highest probability to dominate the system. Therefore, the approach proposed could be an efficient tool to estimate the interaction of parameters related to rock burst damage.
