| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1730502 | Annals of Nuclear Energy | 2007 | 8 Pages |
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.
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Authors
Antonio C.F. Guimarães, Celso M.F. Lapa,