In this paper, the capability of uncertainty propagations of the nuclear-data to the reactor-physics calculations has been implemented in our home-developed code NECP-UNICORN based on the statistical sampling method (SSM). The “two-step” scheme has been applied in NECP-UNICORN to perform the uncertainty analysis for the reactor-physics calculations. For the lattice calculations, the nuclear-data uncertainties are propagated to the few-group constants; then for the core simulations, the uncertainties of the multiplication factor and power distributions introduced by the few-group constants’ uncertainties can be quantified. Applying the NECP-UNICORN code, uncertainty analysis has been performed to the BEAVRS benchmark problem at the Hot Zero Power (HZP) conditions, with situations of All Rod In (ARI) and All Rod Out (ARO). From the numerical results, it can be observed that for the multiplication factors of the core simulations, the relative uncertainties are about 5.1‰ for the ARO situation and 5.0‰ for the ARI situation, which are the same magnitude of the relative uncertainties of the fuel assemblies; for the radial power distributions, the relative uncertainties can up to be 4.27% as the maximum value and 2.08% as the RMS value for the ARO situation, and 6.03% as the maximum value and 2.37% as the RMS value for the ARI situation.
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2017 25th International Conference on Nuclear Engineering
July 2–6, 2017
Shanghai, China
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-5787-8
PROCEEDINGS PAPER
Uncertainty Analysis for the Steady-Stated BEAVRS Benchmark Problem at ARO and ARI Situations
Chenghui Wan,
Chenghui Wan
Xi’an Jiaotong University, Xi’an, China
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Liangzhi Cao,
Liangzhi Cao
Xi’an Jiaotong University, Xi’an, China
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Hongchun Wu
Hongchun Wu
Xi’an Jiaotong University, Xi’an, China
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Chenghui Wan
Xi’an Jiaotong University, Xi’an, China
Liangzhi Cao
Xi’an Jiaotong University, Xi’an, China
Hongchun Wu
Xi’an Jiaotong University, Xi’an, China
Paper No:
ICONE25-66191, V009T15A005; 5 pages
Published Online:
October 17, 2017
Citation
Wan, C, Cao, L, & Wu, H. "Uncertainty Analysis for the Steady-Stated BEAVRS Benchmark Problem at ARO and ARI Situations." Proceedings of the 2017 25th International Conference on Nuclear Engineering. Volume 9: Student Paper Competition. Shanghai, China. July 2–6, 2017. V009T15A005. ASME. https://doi.org/10.1115/ICONE25-66191
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