|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Fracture: 65 Years after the Weibull Distribution and the Williams Singularity
||Forward Propagation of Random Microstructural Features for Reliability Estimates of Engineering Structures
||John Emery, Peter B. Coffin, Brian A Robbins, Samuel M Bowie, Jay Carroll
|On-Site Speaker (Planned)
Random microstructural features are among the predominant sources of uncertainty in structural performance and reliability. We seek to develop efficient multiscale algorithms for uncertainty propagation aiming to predict ductile crack nucleation for polycrystalline alloys, e.g., aluminum alloy 6061-T6. Our approach employs concurrent multiscale methods, but does not focus on their development. They are a necessary but insufficient ingredient to multiscale reliability predictions. Our focus is on their efficient application for forward propagation of microstructural variabilities. The results presented will include plasticity and damage at the meso-scale, methods to expedite Monte Carlo simulation with microstructural variables, explicit geometric representation of grains and second-phase particles, and contrasting algorithms for scale coupling.
Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia LLC, a wholly owned subsidiary of Honeywell International Inc. for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
||Planned: Supplemental Proceedings volume