Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Monte Carlo uncertainty propagation approaches in ADS burn-up calculations
Year:2013
Research Areas
  • Engineering
Information
Abstract
In activation calculations, there are several approaches to quantify uncertainties: deterministic by means of sensitivity analysis, and stochastic by means of Monte Carlo. Here, two different Monte Carlo approaches for nuclear data uncertainty are presented: the first one is the Total Monte Carlo (TMC). The second one is by means of a Monte Carlo sampling of the covariance information included in the nuclear data libraries to propagate these uncertainties throughout the activation calculations. This last approach is what we named Covariance Uncertainty Propagation, CUP. This work presents both approaches and their differences. Also, they are compared by means of an activation calculation, where the cross-section uncertainties of 239Pu and 241Pu are propagated in an ADS activation calculation.
International
Si
JCR
Si
Title
Annals of Nuclear Energy
ISBN
0306-4549
Impact factor JCR
0,8
Impact info
Volume
54
Journal number
From page
27
To page
35
Month
SIN MES
Ranking
Participants
  • Autor: C.J. Díez (Dep. Ingeniería Nuclear)
  • Autor: Oscar Luis Cabellos De Francisco (UPM)
  • Autor: D. Rochman (Nuclear Research and Consultancy Group NRG)
  • Autor: A.J. Koning (Nuclear Research and Consultancy Group NRG)
  • Autor: J.S. Martínez (Dep. Ingeniería Nuclear)
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
  • Departamento: Ingeniería Nuclear
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