| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Accelerated Qualification of Nuclear Materials Integrating Experiments, Modeling, and Theories
|
| Presentation Title |
Integrated Experimental and Computational Qualification of Nuclear Structural Materials |
| Author(s) |
Meimei Li, David Andersson, Ryan Dehoff, Andrea Jokisaari, Isabella Van Rooyen |
| On-Site Speaker (Planned) |
Meimei Li |
| Abstract Scope |
This presentation aims to introduce an integrated experimental and computational qualification framework currently being developed within the DOE NE Advanced Materials and Manufacturing Technologies (AMMT) Program. This framework is built upon a comprehensive understanding of the processing–structure–property-performance relationships of nuclear structural materials made by advanced manufacturing. Unlike conventional qualification approaches that rely solely on engineering property data obtained from standard experiments, our vision is to establish a combined database that includes property data from physical experiments, predictive property data generated by computational models, and property variation and sensitivity analysis utilizing processing and microstructure input. The ultimate goal is to use this rich dataset to determine the design allowables and the performance limits of materials under reactor operating conditions including irradiation, corrosion and high-temperature loading. While appropriate conservatism and approximation may be necessary to ensure acceptability, they can be updated and improved as our understanding progresses. |
| Proceedings Inclusion? |
Planned: |