Particle swarm optimization applied to the nuclear fuel bundle spacer grid spring design
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Nuclear Technology
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One of the main roles of the nuclear fuel bundle spacer grid (SG) is to safely support the fuel
rods (FRs) through springs and dimples. The SG design is an important matter for nuclear power plant
operation when a damaged FR could release fission products. For this work, Particle Swarm Optimization
(PSO) is applied to define the geometries of the springs and dimples existing in a SG. Other algorithms had
been used to optimize these geometries but not PSO. This paper proposes a PSO variable model and its
fitness function in order to define an optimized geometry for the spring and the dimple so that they can
provide sufficient gripping forces and minimize stresses. The implemented PSO was able to generate
geometries of springs and dimples with stresses minimized and with a specific required stiffness value.
The results of these two characteristics are compared with other results in the literature. For further work,
PSO will be used to optimize other important design characteristics of a SG: grid-to-rod fretting, coolant
flow-induced vibration, and the function of mixing coolant.
Como referenciar
LEITE, VICTOR C.; SCHIRRU, ROBERTO; MATTAR NETO, MIGUEL. Particle swarm optimization applied to the nuclear fuel bundle spacer grid spring design. Nuclear Technology, v. 205, n. 5, p. 637-645, 2019. DOI: 10.1080/00295450.2018.1516056. Disponível em: http://repositorio.ipen.br/handle/123456789/29422. Acesso em: 26 Mar 2026.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.