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Adaptive fuzzy system for fuel rod cladding failure in nuclear power plant

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Mar 2007Publisher:Elsevier BVJournal:Annals of Nuclear Energy, volume 34, pages 233-240 (issn: 0306-4549,

Authors: Celso Marcelo Franklin Lapa; Antonio Cesar Ferreira Guimarães;

doi: 10.1016/j.anucene.2006.11.012

Adaptive fuzzy system for fuel rod cladding failure in nuclear power plant

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Abstract

Abstract A new approach to the study of ballooning that causes cladding failure in fuel rods using an adaptive neural fuzzy inference system (ANFIS) is presented in this paper. By mapping input/output patterns describing cladding failure phenomena through average inner cladding temperature and fuel rod gas pressure, ANFIS shows a great potential to modeling this problem in alternative to the traditional approach. A typical pressurized water reactor fuel rod data was used to this application. The results confirm the potential of ANFIS comparatively to experimental calculations.

Related Organizations

Nuclear Engineering Institute
Brazil
Nuclear Engineering Institute
Brazil
National Nuclear Energy Commission
Brazil
National Nuclear Energy Commission
Brazil

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	11
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