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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.1
- 수록면
- 1,250 - 1,258 (9page)
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초록· 키워드
오류제보하기
The multigroup transport theory is the basis for many neutronics modules. A significant point of the cross-section (XS) generation procedure is the choice of the energy groups' boundaries in the XS libraries, which must be carefully selected as an unsuitable energy meshing can easily lead to inaccurate results.
This decision can require considerable effort and is particularly difficult for the common user, especially if not well-versed in reactor physics. This work investigates a genetic algorithm-based tool which selects an appropriate XS energy structure (ES) specific for the considered problem, to be used for the condensation of a fine multigroup library. The procedure is accelerated by results storage and fitness calculation speedup and can be easily parallelized. The extension is applied to the coupled code SIMMER and tested on the European Sustainable Nuclear Industrial Initiative (ESNII＋) Advanced Sodium Technological Reactor for Industrial Demonstration (ASTRID)-like reactor system with different fitness functions. The results show that, when the libraries are condensed based on the ESs suggested by the algorithm, the code actually returns the correct multiplication factor, in both reference and voided conditions. The computational effort reduction obtained by using the condensed library rather than the fine one is assessed and is much higher than the time required for the ES search.
목차
등록된 정보가 없습니다.
참고문헌 (19)
참고문헌 신청
/ / InstitutsCluster II
A. Rineiski / 2011 / C4P cross-section libraries for safety analyses with SIMMER and related studies / Proc. Int. Conf. M&C
B. Mcginley / 2008 / Maintaining diversity through adaptive selection, crossover and mutation / Proc. GECCO 2008
C. Yi / 2013 / Energy group structure determination using particle swarm optimization / Ann. Nucl. Energy 56 : 53 ~ 56
D. E. Goldberg / 1989 / Genetic Algorithm in Search, Optimization and Machine Learning / Addison-Wesley Publishing Company
A. Rineiski / 2011 / C4P cross-section libraries for safety analyses with SIMMER and related studies / Proc. Int. Conf. M&C
B. Mcginley / 2008 / Maintaining diversity through adaptive selection, crossover and mutation / Proc. GECCO 2008
C. Yi / 2013 / Energy group structure determination using particle swarm optimization / Ann. Nucl. Energy 56 : 53 ~ 56
D. E. Goldberg / 1989 / Genetic Algorithm in Search, Optimization and Machine Learning / Addison-Wesley Publishing Company
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