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Search: WFRF:(van der Marck S.) > (2014)

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1.
  • Rochman, Dimitri, et al. (author)
  • Efficient use of Monte Carlo : Uncertainty Propagation
  • 2014
  • In: Nuclear science and engineering. - 0029-5639 .- 1943-748X. ; 177:3, s. 337-349
  • Journal article (peer-reviewed)abstract
    • A new and faster Total Monte Carlo method for the propagation of nuclear data uncertaintiesin Monte Carlo nuclear simulations is presented (the fast TMC method).It is addressing the main drawback of the original Total Monte Carlo method(TMC), namely the necessary large time multiplication factor compared to a singlecalculation. With this new method, Monte Carlo simulations can now be accompaniedwith uncertainty propagation (other than statistical), with small additionalcalculation time. The fast TMC method is presented and compared with the TMCand fast GRS methods for criticality and shielding benchmarks and burn-up calculations.Finally, to demonstrate the efficiency of the method, uncertainties on localdeposited power in 12.7 millions cells are calculated for a full size reactor core,
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2.
  • Rochman, D., et al. (author)
  • Uncertainty Propagation with Fast Monte Carlo Techniques
  • 2014
  • In: Nuclear Data Sheets. - : Elsevier BV. - 0090-3752 .- 1095-9904. ; 118, s. 367-369
  • Journal article (peer-reviewed)abstract
    • Two new and faster Monte Carlo methods for the propagation of nuclear data uncertainties in Monte Carlo nuclear simulations are presented (the "Fast TMC" and "Fast GRS" methods). They are addressing the main drawback of the original Total Monte Carlo method (TMC), namely the necessary large time multiplication factor compared to a single calculation. With these new methods, Monte Carlo simulations can now be accompanied with uncertainty propagation (other than statistical), with small additional calculation time. The new methods are presented and compared with the TMC methods for criticality benchmarks.
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