J. A. Easley

A machine learning based investigation of void distribution effects in ductile failure

The overarching goal of this work is to develop a predictive model of fracture resistance in a context of epistemic uncertainty due to analytically intractable mechanisms in metallic materials. The uncertainty associated with the spatial distribution of defects, such as voids, an...