Multiscale Modeling and Uncertainty Quantification for Nuclear Fuel Performance
- Colorado State Univ., Fort Collins, CO (United States)
- Florida State Univ., Tallahassee, FL (United States)
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Univ. of Wyoming, Laramie, WY (United States)
- Purdue Univ., West Lafayette, IN (United States); Univ. of Utah, Salt Lake City, UT (United States)
In this project, we will address the challenges associated with constructing high fidelity multiscale models of nuclear fuel performance. We (*) propose a novel approach for coupling mesoscale and macroscale models, (*) devise efficient numerical methods for simulating the coupled system, and (*) devise and analyze effective numerical approaches for error and uncertainty quantification for the coupled multiscale system. As an integral part of the project, we will carry out analysis of the effects of upscaling and downscaling, investigate efficient methods for stochastic sensitivity analysis of the individual macroscale and mesoscale models, and carry out a posteriori error analysis for computed results. We will pursue development and implementation of solutions in software used at Idaho National Laboratories on models of interest to the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program.
- Research Organization:
- Battelle Energy Alliance, LLC, Columbus, OH (United States)
- Sponsoring Organization:
- USDOE Office of Nuclear Energy (NE)
- DOE Contract Number:
- AC07-05ID14517
- OSTI ID:
- 1353073
- Report Number(s):
- 11-3056; 11-3056
- Country of Publication:
- United States
- Language:
- English
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