Efficient domain decomposition based reliability analysis for polymorphic uncertain material parameters

Abstract

AbstractRealistic uncertainty description incorporating aleatoric and epistemic uncertainties can be described within the framework of polymorphic uncertainty, which is computationally demanding. Utilizing a domain decomposition approach for random field based uncertainty models the proposed level‐based sampling method can reduce these computational costs significantly and shows good agreement with a standard sampling technique. While 2‐level configurations tend to get unstable with decreasing sampling density 3‐level setups show encouraging results for the investigated reliability analysis of a structural unit square.