An assessment of coupling algorithms for nuclear reactor core physics simulations
Journal Article
·
· Journal of Computational Physics
- Oak Ridge National Laboratory, 1 Bethel Valley Rd., Oak Ridge, TN 37831 (United States)
- Sandia National Laboratories, MS 0316, P.O. Box 5800, Albuquerque, NM 87185 (United States)
- North Carolina State University, Department of Mathematics, Box 8205, Raleigh, NC 27695 (United States)
This paper evaluates the performance of multiphysics coupling algorithms applied to a light water nuclear reactor core simulation. The simulation couples the k-eigenvalue form of the neutron transport equation with heat conduction and subchannel flow equations. We compare Picard iteration (block Gauss–Seidel) to Anderson acceleration and multiple variants of preconditioned Jacobian-free Newton–Krylov (JFNK). The performance of the methods are evaluated over a range of energy group structures and core power levels. A novel physics-based approximation to a Jacobian-vector product has been developed to mitigate the impact of expensive on-line cross section processing steps. Numerical simulations demonstrating the efficiency of JFNK and Anderson acceleration relative to standard Picard iteration are performed on a 3D model of a nuclear fuel assembly. Both criticality (k-eigenvalue) and critical boron search problems are considered.
- OSTI ID:
- 22570242
- Journal Information:
- Journal of Computational Physics, Journal Name: Journal of Computational Physics Vol. 311; ISSN 0021-9991; ISSN JCTPAH
- Country of Publication:
- United States
- Language:
- English
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