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http://dx.doi.org/10.7736/KSPE.2015.32.9.815

Approximate Multi-Objective Optimization of Gap Size of PWR Annular Nuclear Fuels  

Doh, Jaehyeok (Graduate School of Mechanical Engineering, Yonsei University)
Kwon, Young Doo (School of Mechanical Engineering, Kyungpook National University)
Lee, Jongsoo (School of Mechanical Engineering, Yonsei University)
Publication Information
Journal of the Korean Society for Precision Engineering / v.32, no.9, 2015 , pp. 815-824 More about this Journal
Abstract
In this study, we conducted the approximate multi-objective optimization of gap sizes of pressurized-water reactor (PWR) annular fuels. To determine the contacting tendency of the inner-outer gaps between the annular fuel pellets and cladding, thermoelastic-plastic-creep (TEPC)analysis of PWR annular fuels was performed, using in-house FE code. For the efficient heat transfer at certain levels of stress, we investigated the tensile, compressive hoop stress and temperature, and optimized the gap sizes using the non-dominant sorting genetic algorithm (NSGA-II). For this, response surface models of objective and constraint functions were generated, using central composite (CCD) and D-optimal design. The accuracy of approximate models was evaluated through $R^2$ value. The obtained optimal solutions by NSGA-II were verified through the TEPC analysis, and we compared the obtained optimum solutions and generated errors from the CCD and D-optimal design. We observed that optimum solutions differ, according to design of experiments (DOE) method.
Keywords
PWR annular nuclear fuels; Central composite design; D-optimal design; RSM; NSGA-II;
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Times Cited By KSCI : 4  (Citation Analysis)
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