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Lee, Deokjung
Computational Reactor physics & Experiment Lab.
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Performance evaluation of CMFD on inter-cycle correlation reduction of Monte Carlo simulation

Author(s)
Park, JinsuZhang, PengLee, HyunsukChoi, SooyoungYu, JiankaiLee, Deokjung
Issued Date
2019-02
DOI
10.1016/j.cpc.2018.09.014
URI
https://scholarworks.unist.ac.kr/handle/201301/25466
Fulltext
https://www.sciencedirect.com/science/article/pii/S001046551830328X?via%3Dihub
Citation
COMPUTER PHYSICS COMMUNICATIONS, v.235, pp.111 - 119
Abstract
This paper presents a performance examination of the Coarse Mesh Finite Difference (CMFD) method for a reduction of inter-cycle correlations in Monte Carlo (MC) active cycle simulations. Sensitivity tests using the UNIST in-house MC code 'MCS' reveal the characteristics of CMFD effectiveness depending on problem sizes, dimensions, and cross-section dependency on neutron energy (multi-group vs. continuous). Also, by applying this method to the three-dimensional BEAVRS whole core problem, it is successfully demonstrated that the CMFD can reduce the inter-cycle correlations of practical, large size, and high dominance ratio problems, and that the figure of merit of efficiency for a practical reactor problem increases by a factor of six.
Publisher
ELSEVIER SCIENCE BV
ISSN
0010-4655
Keyword (Author)
Monte CarloCoaRse Mesh Finite Difference methodInter-cycle correlationMCSSensitivity test3-dimensional whole core simulation
Keyword
BIASESERROR

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