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Memorias de investigación
Communications at congresses:
Examples of Monte Carlo Techniques Applied for Nuclear Data Uncertainty Propagation, WONDER2018
Year:2018
Research Areas
  • Engineering
Information
Abstract
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 benchmar
International
Si
Congress
5th International Workshop on Nuclear Data Evaluation for Reactor Applications.
960
Place
Aix-en-Provence, Francia
Reviewers
Si
ISBN/ISSN
978-2-7598-1970-6
Start Date
08/10/2018
End Date
12/10/2018
From page
8
To page
14
Book of Abastracts
Participants
  • Autor: Oscar Luis Cabellos De Francisco (UPM)
  • Autor: Luca Fiorito (OECD NEA)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Fusión Nuclear Inercial y Tecnología de fusión
  • Centro o Instituto I+D+i: Instituto de Fusión Nuclear "Guillermo Velarde"
  • Departamento: Ingeniería Energética
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