Stochastic model and reliability assesment applied for the platinum ore disintegration process

Abstract eng:
This paper focuses on a numerical analysis of the hard rock (ore) disintegration process. The bit moves into the ore (i.e. mechanical contact with friction) and subsequently disintegrates it. The disintegration (i.e. stress-strain relationship, reaction forces and fracture of the ore etc.) is solved via the FEM in combination with SBRA (Simulation-Based Reliability Assessment) Method (i.e. Monte Carlo simulations). The ore is disintegrated by deactivating the FE which satisfy the fracture condition. Material of the ore (i.e. yield stress, fracture limit, etc.), is given by bounded histograms (i.e. stochastic inputs). The results are compared with experiments. Application of the SBRA method in this area is a new and innovative trend. However, it takes a long time to solve this problem (due to material and structural nonlinearities, the large number of elements, many Monte Carlo simulations, etc.). Hence, parallel computers were used to handle the large computational needs. Finally, the probabilistic reliability assessment is proposed.

• Export as: BibTeX | MARC | MARCXML | DC | EndNote | NLM | RefWorks
• Add to your basket