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Convergence analysis of two-node CMFD method for two-group neutron diffusion eigenvalue problem

delete2015-12-01
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PRE
AI
Y
Yongjin Jeong
J
Jinsu Park
H
Hyun Chul Lee
D
Deokjung Lee *
DOI:10.1016/j.jcp.2015.09.004delete
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Abstract

Abstract

En 中文
In this paper, the nonlinear coarse-mesh finite difference method with two-node local problem (CMFD2N) is proven to be unconditionally stable for neutron diffusion eigenvalue problems. The explicit current correction factor (CCF) is derived based on the two-node analytic nodal method (ANM2N), and a Fourier stability analysis is applied to the linearized algorithm. It is shown that the analytic convergence rate obtained by the Fourier analysis compares very well with the numerically measured convergence rate. It is also shown that the theoretical convergence rate is only governed by the converged second harmonic buckling and the mesh size. It is also noted that the convergence rate of the CCF of the CMFD2N algorithm is dependent on the mesh size, but not on the total problem size. This is contrary to expectation for eigenvalue problem. The novel points of this paper are the analytical derivation of the convergence rate of the CMFD2N algorithm for eigenvalue problem, and the convergence analysis based on the analytic derivations. (C) 2015 Elsevier Inc. All rights reserved.
Keywords:
Two-node CMFD
Two-node ANM
Convergence analysis
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Journal

Journal of Computational Physics cover
Journal of Computational Physics
IF:
3.8
Papers:
1.6W
Citations:
7.4W

Organization

K
Korea Atomic Energy Research Institute (KAERI)
Scholars:
3.3K
Papers: 3.1K
Citations: 4
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