About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
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AI/Data Informatics: Computational Model Development, Validation, and Uncertainty Quantification
|
Presentation Title |
RVE, SERVE and Digital Material Volumes for Design and Engineering |
Author(s) |
Dennis M. Dimiduk, Somnath Ghosh, David Furrer |
On-Site Speaker (Planned) |
Dennis M. Dimiduk |
Abstract Scope |
The concept of representative volume elements (RVE) has been around for at least 60 years, yet materials, processes, and structures engineering (MPSE) make little use of it. Engineering implementations not only require establishing a statistical approach to quantify microstructures (i.e., hierarchical material structure), but also establishing a means to define the structure spatially throughout the volume of a component. Further reasons are incomplete science, underdeveloped experimental capability, gaps in modeling and simulation tools, uncertainty quantification and validation methods, data systems, and a lack of industry standards. However, for the last two decades methods for producing and interrogating digital material volumes significantly advanced—lending new promise for engineering implementation. This presentation treats aspects of these issues, beginning with a historical summary, followed by more detailed discussion of current day research on statistically equivalent RVE (SERVE). Following these, some necessary steps for MPSE design implantation are shown. Finally, key limitations are highlighted. |
Proceedings Inclusion? |
Planned: |
Keywords |
Modeling and Simulation, ICME, Computational Materials Science & Engineering |