About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Materials for Qualification and Certification
|
| Presentation Title |
Accelerating the Qualification of New Structural Materials for High Temperature Nuclear Reactors With Physics- and Data-Driven Models |
| Author(s) |
Mark C. Messner |
| On-Site Speaker (Planned) |
Mark C. Messner |
| Abstract Scope |
Developers contributing to the boom in the design and construction of advanced, high temperature fission reactors must contend with nearly the same material library available to designers in the 1980s. Qualifying a new material for safety critical high temperature nuclear applications is a time consuming and expensive process, relying on collecting and correlating large amounts of long-term tests before putting the new material into service. The time and expense of this process limits the palette of materials available to reactor designers. This presentation will summarize recent work aimed at accelerating this qualification process by supplementing short-term testing with microstructural characterization with advanced modeling and simulation. The talk will cover case studies demonstrating that physics-based models and machine learning can reduce required test durations by a factor of four and could reduce the number of tests by a factor of ten or more. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, High-Temperature Materials, Modeling and Simulation |