Monte Carlo Probabilistic Approach Applied for Solving Problems in Mining Engineering

Abstract

The conference paper presents some computational probabilistic solutions (i.e. direct Monte Carlo simulations and SBRA—Simulation-Based Reliability Assessment Method) applied in the branch of mining engineering. At first, the strength analysis of a bucket wheel excavator used in opencast mines for the extraction of overlying soils is solved. The assessment focuses on the arm of this particular excavator. Quasi-dynamic analysis using Finite Element Method (FEM) and measurement records of the dynamic load during the operation of a large machine can be used to derive statistical inputs (cyclic loading histograms) for probabilistic reliability assessment. At second, the solution of a hard rock (ore) disintegration process is solved (i.e. the bit moves into the ore and subsequently disintegrates it). The probabilistic results are compared with experiments and new design of excavation tool is proposed.