|About this Abstract
||2020 TMS Annual Meeting & Exhibition
||Algorithm Development in Materials Science and Engineering
||L-11: Randomness at Scale: Properties of Bulk Nanostructured Materials from Stochastic Representative Volume Elements
||Skylar Mays, Katherine M Moody, Mujan Seif, John Balk, Matthew J Beck
|On-Site Speaker (Planned)
Predicting and/or optimizing properties of bulk nanostructured materials is challenging. Accounting for effects of disorder and randomness is particularly difficult, and of particular current interest in the context of nanoporous materials, fibrous ablatives, and sintered metallic powders. Scaling local properties to aggregate, bulk effective properties is a critical capability for both the design and application of such materials. Leveraging a recently implemented tool for stochastically generating large numbers of simulated RVEs with physically-motivated structural motifs (including network solids, packed powders, and matted or textured fibers), we are able to compute statistically valid distributions of local properties and to probe relationships between local properties and geometrical features. Here we extend previous work and report new results of efforts to homogenize distributions of local properties into bulk effective properties.
||Planned: Supplemental Proceedings volume