NEUP CINR-22-26929: Physics-guided Smart Scaling Methodology for Accelerated Fuel Testing

This project proposes to employ novel informatics algorithms for mapping/scaling uncertainties from experimentally accessible scaled state to application/prototypical state, informed by an equivalent mapping obtained from high-fidelity multi-physics simulations for the fuel thermo-mechanical behavior, specifically, a rate theory-based model for thermal conductivity and fission gas behavior in the BISON code, and employing relevant HALDEN reactor and FAST experiments.

Additional Info

Field	Value
Awarded Institution	Purdue University
PI	Hany Abdel-Khalik