EPJ Web of Conferences (Jan 2019)

Examples of Monte Carlo techniques applied for nuclear data uncertainty propagation

  • Cabellos Oscar,
  • Fiorito Luca

DOI
https://doi.org/10.1051/epjconf/201921107008
Journal volume & issue
Vol. 211
p. 07008

Abstract

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The aim of this work is to review different Monte Carlo techniques used to propagate nuclear data uncertainties. Firstly, we introduced Monte Carlo technique applied for Uncertainty Quantification studies in safety calculations of large scale systems. As an example, the impact of nuclear data uncertainty of JEFF-3.3 235U, 238U and 239Pu is demonstrated for the main design parameters of a typical 3-loop PWR Westinghouse unit. Secondly, the Bayesian Monte Carlo technique for data adjustment is presented. An example for 235U adjustment using criticality and shielding integral benchmarks shows the importance of performing joint adjustment based on different set of integral benchmarks.