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Monte Carlo estimation of radionuclide release at a repository scale

Abstract : Prediction of radionuclide release is a central issue in the performance assessment of nuclear waste repositories. This requires modeling of the radionuclide migration processes through the repository barriers, accounting for the related uncertainties. The present paper illustrates a Monte Carlo simulation-based compartment model in which detailed, local-scale modeling feeds a global-scale analysis of the repository, at reasonable computational expenses. An application to a realistic case study is presented to verify the feasibility of the approach.
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https://hal-supelec.archives-ouvertes.fr/hal-00610480
Contributor : Yanfu Li <>
Submitted on : Friday, July 22, 2011 - 10:36:53 AM
Last modification on : Wednesday, July 15, 2020 - 10:36:09 AM

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  • HAL Id : hal-00610480, version 1

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F. Cadini, J. de Sanctis, Enrico Zio, T. Girotti, A. Luce, et al.. Monte Carlo estimation of radionuclide release at a repository scale. Annals of Nuclear Energy, Elsevier Masson, 2010, 37 (6), pp.861-866. ⟨hal-00610480⟩

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