Journal article
Structure–property linkage in shocked multi-material flows using a level-set-based Eulerian image-to-computation framework
Shock waves, Vol.30(5), pp.443-472
07/2020
DOI: 10.1007/s00193-020-00947-y
Abstract
Morphology and dynamics at the mesoscale play crucial roles in the overall macro- or system-scale flow of heterogeneous materials. In a multi-scale framework, closure models upscale unresolved sub-grid (mesoscale) physics and therefore encapsulate structure–property (S–P) linkages to predict performance at the macroscale. This work establishes a route to S–P linkage, proceeding all the way from imaged microstructures to flow computations in one unified level-set-based framework. Level sets are used to: (1) define embedded geometries via image segmentation; (2) simulate the interaction of sharp immersed boundaries with the flow field; and (3) calculate morphological metrics to quantify structure. Mesoscale dynamics is computed to calculate sub-grid properties, i.e., closure models for momentum and energy equations. The S–P linkage is demonstrated for two types of multi-material flows: interaction of shocks with a cloud of particles and reactive meso-mechanics of pressed energetic materials. We also present an approach to connect local morphological characteristics in a microstructure containing topologically complex features with the shock response of imaged samples of such materials. This paves the way for using geometric machine learning techniques to associate imaged morphologies with their properties.
Details
- Title: Subtitle
- Structure–property linkage in shocked multi-material flows using a level-set-based Eulerian image-to-computation framework
- Creators
- S RoyN. K RaiO SenH. S Udaykumar
- Resource Type
- Journal article
- Publication Details
- Shock waves, Vol.30(5), pp.443-472
- DOI
- 10.1007/s00193-020-00947-y
- ISSN
- 0938-1287
- eISSN
- 1432-2153
- Grant note
- DOI: 10.13039/100006602, name: Air Force Research Laboratory, award: FA8651-16-1-0005
- Language
- English
- Date published
- 07/2020
- Academic Unit
- IIHR--Hydroscience and Engineering; Injury Prevention Research Center; Mechanical Engineering
- Record Identifier
- 9984121965302771
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