A5041915429- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
- Nuclear reactor physics and engineering
- Atomic and Subatomic Physics Research
- Nuclear Physics and Applications
- Radiation Detection and Scintillator Technologies
United States Naval Research Laboratory
2023
University of Michigan–Ann Arbor
2015-2022
This paper presents an innovative approach to efficiently perform deterministic direct whole-core transport calculations with multiphysics feedback for steady-state problems. Traditionally, Picard iteration combined coarse mesh finite difference (CMFD) acceleration has been used, but it can suffer from instability and inefficiency in certain scenarios. In this work, we introduce the X-CMFD method, supported by Fourier analysis, enhance stability of scheme. A new efficient variation method...
The coarse-mesh finite difference (CMFD) method is commonly used to accelerate the iterative convergence of single-physics neutron transport problems. For multiphysics problems, cross sections depend on temperature and density, both which fission heat source; resulting nonlinear feedback can significantly degrade performance CMFD even cause instability. In this paper, we propose, for a class one-dimensional (1-D) model new nonlinearly implicit low-order (NILO) (NILO-CMFD) acceleration...