UTILIZING A REDUCED-ORDER MODEL AND PHYSICAL PROGRAMMING FOR PRELIMINARY REACTOR DESIGN OPTIMIZATION
نویسندگان
چکیده
Reactor core design is inherently a multi-objective problem which spans large space, and potentially larger objective space. This process relies on high-fidelity models to probe the sophisticated computer codes calculate important physics occurring in reactor. In past, space has been reduced by individuals with extensive knowledge of reactor design; however, this approach not always available. paper, we utilize set generate reduced-order model, couple genetic algorithm quickly effectively optimize preliminary for prototypical sodium fast We also examine augmenting physical programming fitness function(s) that evaluates degree optimized. Physical used two variations optimization compared traditional weighting scheme solutions present Pareto front. Optimization model produces front designer examine. The uncertainty functions examined less than 7% given designs, improves as additional data points are employed. Utilizing can significantly reduce computation time storage perform optimization. was shown when scheme. It provides an intuitive computationally efficient way produce meets designer’s objectives.
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ژورنال
عنوان ژورنال: Epj Web of Conferences
سال: 2021
ISSN: ['2101-6275', '2100-014X']
DOI: https://doi.org/10.1051/epjconf/202124706049