Efficient solution of the simplified P N equations
Journal Article
·
· Journal of Computational Physics
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
We show new solver strategies for the multigroup SPN equations for nuclear reactor analysis. By forming the complete matrix over space, moments, and energy a robust set of solution strategies may be applied. Moreover, power iteration, shifted power iteration, Rayleigh quotient iteration, Arnoldi's method, and a generalized Davidson method, each using algebraic and physics-based multigrid preconditioners, have been compared on C5G7 MOX test problem as well as an operational PWR model. These results show that the most ecient approach is the generalized Davidson method, that is 30-40 times faster than traditional power iteration and 6-10 times faster than Arnoldi's method.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1185441
- Alternate ID(s):
- OSTI ID: 1244284
- Journal Information:
- Journal of Computational Physics, Journal Name: Journal of Computational Physics Journal Issue: C Vol. 284; ISSN 0021-9991
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
A Multilevel in Space and Energy Solver for 3-D Multigroup Diffusion and Coarse-Mesh Finite Difference Eigenvalue Problems
|
journal | February 2019 |
Similar Records
An energy-dependent numerical model for the condensation probability, γ j
Measurement of theΛ b cross section and the Λ ¯ b to Λ b ratio with J / ψ Λ decays in pp collisions at s = 7 TeV
Magnetic field control of microstructural development in melt-spunPr 2 Co 14 B
Journal Article
·
2016
· Computer Physics Communications
·
OSTI ID:1337085
Measurement of the
Journal Article
·
2012
· Physics Letters B
·
OSTI ID:1433327
Magnetic field control of microstructural development in melt-spun
Journal Article
·
2017
· Journal of Magnetism and Magnetic Materials
·
OSTI ID:1350926