Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
A comparison of uncertainty propagation techniques using NDaST: full, half or zero Monte Carlo
Year:2018
Research Areas
  • Engineering
Information
Abstract
Uncertainty propagation to keff using a Total Monte Carlo sampling process is commonly used to solve the issues associated with non-linear dependencies and non-Gaussian nuclear parameter distributions.We suggest that in general, keff sensitivities to nuclear data perturbations are not problematic, and that they remain linear over a large range; the same cannot be said definitively for nuclear data parameters and their impact on final cross-sections and distributions. Instead of running hundreds or thousands of neutronics calculations, we therefore investigate the possibility to take those many cross-section file samples and perform ?cheap? sensitivity perturbation calculations. This is efficiently possible with the NEA Nuclear Data Sensitivity Tool (NDaST) and this process we name the half Monte Carlo method (HMM). We demonstrate that this is indeed possible with a test example of JEZEBEL (PMF001) drawn from the ICSBEP handbook, comparing keff directly calculated with SERPENT to those predicted with NDaST. Furthermore, we show that one may retain the normal NDaST benefits; a deeper analysis of the resultant effects in terms of reaction and energy breakdown, without the normal computational burden of Monte Carlo (results within minutes, rather than days). Finally, we assess the rationality of using either full or HMMs, by also using the covariance data to do simple linear ?sandwich formula? type propagation of uncertainty onto the selected benchmarks. This allows us to draw some broad conclusions about the relative merits of selecting a technique with either full, half or zero degree of Monte Carlo simulation.
International
Si
JCR
Si
Title
EPJ Nuclear Sci. Technol.
ISBN
1434-6001
Impact factor JCR
Impact info
Volume
4
10.1051/epjn/2018016
Journal number
14
From page
1
To page
4
Month
SIN MES
Ranking
Participants
  • Autor: James Dyrda (OECD NEA)
  • Autor: Ian Hill (OECD NEA)
  • Autor: Luca Fiorito (OECD NEA)
  • Autor: Oscar Luis Cabellos De Francisco (UPM)
  • Autor: Nicolas Soppera (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"
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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