Preliminary study of applying adjoint-based mesh optimization method to nuclear power plant safety analysis

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Although the number of meshes and their distribution are important parameters that affect both computation resources and the accuracy of the numerical results, meshing of most of all computational problems still depends highly on the users’ experiences. In this paper, a deterministic adjoint-based method of optimizing mesh distribution is proposed. The developed method is applied to a nuclear power plant safety analysis. The mesh optimization was performed with 1D steady state cylindrical nuclear fuel problem first. Radial and axial mesh distributions are optimized respectively. With no surprise, the optimized mesh system performs superior than the same number of uniformly meshed system. However, it was unexpected that the optimized mesh retains generality and therefore, the optimized mesh system can be still the best mesh system for given number of meshes under different condition or even during transient analysis. The authors applied the optimized mesh distribution to nuclear system safety analysis. A large pressurized water reactor cold leg guillotine break (LBLOCA) scenario was analyzed and the consequence of different mesh systems is investigated and discussed. From this preliminary study the usefulness and implication of the adjoint based mesh optimization method for the nuclear safety analysis is uncovered.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2017-11
Language
English
Article Type
Article
Keywords

GENETIC ALGORITHMS; MODEL; PARAMETERS; SENSITIVITY

Citation

ANNALS OF NUCLEAR ENERGY, v.109, pp.405 - 418

ISSN
0306-4549
DOI
10.1016/j.anucene.2017.05.053
URI
http://hdl.handle.net/10203/238834
Appears in Collection
NE-Journal Papers(저널논문)
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