A proposal on accuracy estimation method for the sampling-based uncertainty analysis with Monte Carlo simulation technique

Song Hyun KimDepartment of Nuclear Engineering, Hanyang University, 222 Wangsimni-ro, Seoungdong-gu, Seoul, 133-791, KoreaCorrespondence[email protected]

Myung Sub SongDepartment of Nuclear Engineering, Hanyang University, 222 Wangsimni-ro, Seoungdong-gu, Seoul, 133-791, Korea

Gwang Min SunKorea Atomic Energy Research Institute, 150 Deokjin, Yuseong, Daejeon305-353, Korea

Chang Ho ShinDepartment of Nuclear Engineering, Hanyang University, 222 Wangsimni-ro, Seoungdong-gu, Seoul, 133-791, Korea

References

Broadhead BL, Rearden BT, Hopper CM, Wagschal JJ, Parks CV. Sensitivity- and uncertainty-based criticality safety validation techniques. Nucl Sci Eng. 2014;146:1340–366.
Google Scholar
Shim HJ, Han BS, Jung JS, Park HJ, Kim CH. McCARD: Monte Carlo code for advanced reactor design and analysis. Nucl Eng Technol. 2012;44(2):161–176.
Web of Science ®Google Scholar
Han TY, Lee HC, Noh JM. Sensitivity and uncertainty analysis of the keff for VHTR fuel. In: Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo; 2014 Oct 27–31; Tokyo, Japan: EDP Sciences; 2014.
Google Scholar
Zwermann W, Aures A, Gallner L, Hannstein V, Krzykacz-Hausmann B, Velkov K, Martinez JS. Nuclear data uncertainty and sensitivity analysis with XSUSA for fuel assembly depletion calculations. Nucl Eng Technol. 2014;46(3):343–352.
Web of Science ®Google Scholar
Helton JC, Davis FJ. Illustration of sampling based methods for uncertainty and sensitivity analysis. Risk Anal. 2002;22(3):591–622.
PubMed Web of Science ®Google Scholar
Kendall M, Stuart A. The advanced theory of statistics: distribution theory. Vol. 1. London: Griffin; 1977.
Google Scholar
MacFarlane RE, Muir DW. The NJOY nuclear data processing system: version 91. Oak Ridge, TN; 1994.
Google Scholar

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A proposal on accuracy estimation method for the sampling-based uncertainty analysis with Monte Carlo simulation technique

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