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Title: Random-Walk Monte Carlo Simulation of Intergranular Gas Bubble Nucleation in UO2 Fuel

Abstract

Using a random-walk particle algorithm, we investigate the clustering of fission gas atoms on grain bound- aries 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.

Authors:
; ; ;
Publication Date:
Research Org.:
Idaho National Laboratory (INL)
Sponsoring Org.:
DOE - NE
OSTI Identifier:
1061013
Report Number(s):
INL/JOU-12-25287
DOE Contract Number:  
DE-AC07-05ID14517
Resource Type:
Journal Article
Journal Name:
Journal of Nuclear Materials
Additional Journal Information:
Journal Volume: 430; Journal Issue: 1 - 3
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Fission gas release

Citation Formats

Yongfeng Zhang, Michael R. Tonks, S. B. Biner, and D.A. Andersson. Random-Walk Monte Carlo Simulation of Intergranular Gas Bubble Nucleation in UO2 Fuel. United States: N. p., 2012. Web.
Yongfeng Zhang, Michael R. Tonks, S. B. Biner, & D.A. Andersson. Random-Walk Monte Carlo Simulation of Intergranular Gas Bubble Nucleation in UO2 Fuel. United States.
Yongfeng Zhang, Michael R. Tonks, S. B. Biner, and D.A. Andersson. Thu . "Random-Walk Monte Carlo Simulation of Intergranular Gas Bubble Nucleation in UO2 Fuel". United States.
@article{osti_1061013,
title = {Random-Walk Monte Carlo Simulation of Intergranular Gas Bubble Nucleation in UO2 Fuel},
author = {Yongfeng Zhang and Michael R. Tonks and S. B. Biner and D.A. Andersson},
abstractNote = {Using a random-walk particle algorithm, we investigate the clustering of fission gas atoms on grain bound- aries 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.},
doi = {},
journal = {Journal of Nuclear Materials},
number = 1 - 3,
volume = 430,
place = {United States},
year = {2012},
month = {11}
}