Uncertainty quantification of isotopic densities in depleted fuel - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Uncertainty quantification of isotopic densities in depleted fuel

Résumé

Uncertainty quantification of interest outputs based on the nuclear data is an importantissue for nuclear safety, from operation of nuclear facilities to long termdeposit management. To be complete, the Verification and Validation process musttake into account the uncertainty quantification due to various sources input data,design, models...This work focuses on the VVUQ process for depletion code systems on a PWRfuel rod application. We compare the results of two CEA depletion code systems(namely DARWIN/PEPIN2.4 and MENDEL v1.2) and experimental data. Experimentaldata reported by a 2008 paper from Dr. Sasahara gives isotopic concentrationfor four UO2 fuel samples irradiated up to 64.7 MWd/t in a pressurized waterreactor. Nuclear data nominal data and uncertainties on decay data are taken fromthe JEFF-3.1.1, when uncertainties on cross section data are chosen from the CEACOMAC data base.Concerning the choice of uncertainty quantification methods, DARWIN/PEPIN2deterministic approach is based on sensitivity profiles computation by direct forwardperturbation, thanks to INCERD module. MENDEL probabilistic method isbased on Monte Carlo correlated sampling. Those samplings are achieved throughthe CEA uncertainty platform URANIE.Experimental measurement errors and nuclear input data uncertainties are taken intoaccount, when modelisation biases or algorithm accuracy are supposed negligible.Output quantities of interest are the isotopic concentrations at given times.We show that both uncertainty propagation results give similar results, compatiblewith experimental data and validating both the methods and both code systems onthis application. We focus on the elaboration of a measure for sensibility coefficientsapplicable to the stochastic approach, where thousands of eventually correlateduncertain input parameters are taken into account.
Fichier principal
Vignette du fichier
201700004009.pdf (624.91 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02415484 , version 1 (17-12-2019)

Identifiants

  • HAL Id : hal-02415484 , version 1

Citer

S. Lahaye, J. Luo, P. Bellier, Td. Huynh, A. Tsilanizara. Uncertainty quantification of isotopic densities in depleted fuel. ANS Best Estimate Plus Uncertainty International Conference (BEPU 2018), May 2018, Lucca, Italy. ⟨hal-02415484⟩

Collections

CEA DEN
51 Consultations
123 Téléchargements

Partager

Gmail Facebook X LinkedIn More