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 journalArticle

3 Scopus citations

Abstract

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
Volume430
Issue number1-3
DOIs
StatePublished - Nov 1 2012

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics
  • Materials Science(all)
  • Nuclear Energy and Engineering

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