Preconditioned JFNK discontinuous Galerkin method for the SN neutron transport equation based on the WINGS framework

This paper presents a solution scheme for the SN neutron transport equation using the discontinuous Galerkin method, implemented within the WINGS framework. The resulting SN-DG-WINGS program is capable of solving both steady-state eigenvalue problems and fixed-source problems, and incorporates the JFNK algorithm via the solver interface provided by WINGS. To improve computational efficiency, a preconditioned matrix construction method based on the A-matrix is introduced, along with a computational strategy for generating initial guesses. The accuracy of the program is verified through a series of benchmark cases, including one dimensional fixed source problems with anisotropic scattering and three dimensional criticality problems. Numerical results indicate an eigenvalue deviation within 200 pcm and a flux distribution error below 5%. In terms of computational performance, the proposed preconditioning technique and initial guess strategy significantly improve convergence speed and stability. Large-scale parallel tests show that the program maintains a parallel efficiency of 47.3% even at 1024 processors, demonstrating strong scalability.

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Publication Details

Journal
Nuclear Engineering and Technology
Published
2026-01-19
DOI
https://doi.org/10.1016/j.net.2026.104145
Primary Topic
Nuclear reactor physics and engineering
Type
article
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article

Preconditioned JFNK discontinuous Galerkin method for the SN neutron transport equation based on the WINGS framework

Xiantao Cui, Shenglong Qiang, Di Xiang, Binbin Zhang et al.
Nuclear Engineering and Technology
Nuclear reactor physics and engineering
article

Preconditioned JFNK discontinuous Galerkin method for the SN neutron transport equation based on the WINGS framework

Xiantao Cui, Shenglong Qiang, Di Xiang, Binbin Zhang, Rong Zhou, Wei Zeng
article en

Abstract

This paper presents a solution scheme for the SN neutron transport equation using the discontinuous Galerkin method, implemented within the WINGS framework. The resulting SN-DG-WINGS program is capable of solving both steady-state eigenvalue problems and fixed-source problems, and incorporates the JFNK algorithm via the solver interface provided by WINGS. To improve computational efficiency, a preconditioned matrix construction method based on the A-matrix is introduced, along with a computational strategy for generating initial guesses. The accuracy of the program is verified through a series of benchmark cases, including one dimensional fixed source problems with anisotropic scattering and three dimensional criticality problems. Numerical results indicate an eigenvalue deviation within 200 pcm and a flux distribution error below 5%. In terms of computational performance, the proposed preconditioning technique and initial guess strategy significantly improve convergence speed and stability. Large-scale parallel tests show that the program maintains a parallel efficiency of 47.3% even at 1024 processors, demonstrating strong scalability.

Nuclear Engineering and TechnologyVol. 58(5)
China National Nuclear Corporation (CN), Sichuan University (CN), China General Nuclear Power Corporation (China) (CN)
Openalex Percentile: Top 86%
Nuclear reactor physics and engineering
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