Random-walk Monte Carlo simulation of intergranular gas bubble nucleation in UO 2 fuel

Paul C. Millett, Yongfeng Zhang, D. A. Andersson, Michael R. Tonks, S. B. Biner

    Research output: Contribution to journalArticlepeer-review

    6 Scopus citations


    Using a random-walk particle algorithm, we investigate the clustering of fission gas atoms on grain boundaries in oxide fuels. The computational algorithm implemented in this work considers a planar surface representing a grain boundary on which particles appear at a rate dictated by the Booth flux, migrate two dimensionally according to their grain boundary diffusivity, and coalesce by random encounters. Specifically, the intergranular bubble nucleation density is the key variable we investigate using a parametric study in which the temperature, grain boundary gas diffusivity, and grain boundary segregation energy are varied. The results reveal that the grain boundary bubble nucleation density can vary widely due to these three parameters, which may be an important factor in the observed variability in intergranular bubble percolation among grain boundaries in oxide fuel during fission gas release.

    Original languageEnglish (US)
    Pages (from-to)44-49
    Number of pages6
    JournalJournal of Nuclear Materials
    Issue number1-3
    StatePublished - Nov 2012

    All Science Journal Classification (ASJC) codes

    • Nuclear and High Energy Physics
    • General Materials Science
    • Nuclear Energy and Engineering


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