Monte carlo estimation of radionuclide release at a repository scale

F. Cadini, J. De Sanctis, T. Girotti, E. Zio, A. Luce, A. Taglioni

Research output: Contribution to journalArticle

11 Citations (Scopus)

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 simulationbased 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. © 2010 Elsevier Ltd.
Original languageEnglish
Pages (from-to)861 - 866
Number of pages6
JournalAnnals of Nuclear Energy
Volume37
Issue number6
DOIs
Publication statusPublished - 2010
Externally publishedYes

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Nuclear Energy and Engineering

Cite this

Cadini, F., De Sanctis, J., Girotti, T., Zio, E., Luce, A., & Taglioni, A. (2010). Monte carlo estimation of radionuclide release at a repository scale. Annals of Nuclear Energy, 37(6), 861 - 866. https://doi.org/10.1016/j.anucene.2010.02.011