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URN: urn:nbn:de:swb:90-754231
Originalveröffentlichung
DOI: 10.1016/j.net.2017.07.012

SIMMER extension for multigroup energy structure search using genetic algorithm with different fitness functions

Massone, M.; Gabrielli, F.; Rineiski, A.

Abstract:
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 (ESNIIþ) 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 a ... mehr


Zugehörige Institution(en) am KIT Institut für Kern- und Energietechnik (IKET)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator ISSN: 0372-7327, 1738-5733
URN: urn:nbn:de:swb:90-754231
KITopen ID: 1000075423
HGF-Programm 32.01.12; LK 01
Erschienen in Nuclear engineering and technology
Band 49
Heft 6
Seiten 1250-1258
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