Analysis of dynamic reactivity by Monte Carlo methods: The impact of nuclear data

A. Zoia (1) , C. Jouanne (1) , P. Sireta (1) , P. Leconte (1) , G. Braoudakis (2) , L. Wong (2)

1 CEA-DES (ex-DEN) - CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire)
2 ANSTO - Australian Nuclear Science and Technology Organisation [Australie]

We compute the dynamic reactivity of several reactor configurations by resorting to Monte Carlo simulation. The adjoint-weighted kinetics parameters are first determined by the Iterated Fission Probability (IFP) method, together with precursor decay constants, and the reactivity is then estimated by the inhour equation. When literature values are available for the reactivity as a function of the asymptotic reactor period, comparison with the Monte Carlo simulation findings allows validating the IFP algorithm and at the same time probing the accuracy of the nuclear data libraries used in numerical simulations. For our calculations we resort to the Tripoli-4 Monte Carlo code, developed at CEA, where IFP methods have been recently implemented. We perform a detailed analysis of the IPEN/MB-01 core, the SPERT III E-core, and the SPERT IV D-12/25 core, for which benchmark-quality reactor specifications have been published. We single out some systematic discrepancies between computed and measured core reactivity that might mirror possible inconsistencies in nuclear data libraries.

Keywords: Reactivity; Nuclear data; IFP; IPEN; SPERT; Tripoli-4; MCNP6

Domains: Nuclear Experiment [nucl-ex]; Nuclear Theory [nucl-th]

A. Zoia, C. Jouanne, P. Sireta, P. Leconte, G. Braoudakis, et al.. Analysis of dynamic reactivity by Monte Carlo methods: The impact of nuclear data. Annals of Nuclear Energy, 2017, 110, pp.11-24. ⟨10.1016/j.anucene.2017.06.012⟩. ⟨cea-02421887⟩