Monte Carlo criticality analysis under material distribution uncertainty

Ueki, Taro

Analysis framework under material distribution uncertainty is investigated for the Monte Carlo (MC) criticality calculation of continuously mixed media formed via molten core concrete interaction. Deterministic trigonometric functions and randomized Weierstrass functions are utilized to represent the spatially continuous variation. Numerical results indicate that the effective multiplication factor (k $_{rm eff}$ ) under random spatial variation can depart significantly from the k $_{rm eff}$ of a reference uniform medium. It is also shown that the deterministic modeling provides an upper-bound measure for extreme results from random realizations.

Language	:	English
Journal	:	Journal of Nuclear Science and Technology
Volume	:	54
Number	:	3
Pages	:	p.267 - 279
Publication Year/Month	:	2017/03
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Paper URL	:	https://doi.org/10.1080/00223131.2016.1260066
DOI for research data	:	Link to research data related to this paper/report.
Keywords	:	Criticality; material distribution uncertainty; randomized Weierstrass function; Monte Carlo; molten core concrete interaction
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Article of JAEA R&D Review	:	Uncertainty Estimation in the Criticality of Nuclear Systems Containing Fuel Debris; Development of a Criticality Calculation Method for Randomly Distributed Materials [/]
Cooperating Institute	:	原子力規制庁

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InCites™	:	Percentile:61.43 Category:Nuclear Science & Technology
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Registration No. : AA20160449
JAEA Abstracts No. : 45000259
Paper Submission No. : 18576

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