Probabilistic modeling of the size effect and scatter in High Cycle Fatigue using a Monte-Carlo approach: Role of the defect population in cast aluminum alloys

In this study, a probabilistic model based on Monte-Carlo theory is applied to predict the fatigue behavior of cast aluminum alloys. The objective proposed approach investigate effect porosity (i.e. defect size distribution and spatial density) strength its associated scatter for uniaxial loads with load ratio R = 0.1. two alloys very different characteristics. results these confirm that can be used average relative error <5%. It also accurately reproduces experimentally observed trends concerning in strength. underestimated but same order magnitude as experimental values. believed because considers only source scatter. demonstrated well adapted prediction volume or scale fatigue. This estimate Representative Volume Element Fatigue