A model describing intra-granular fission gas behaviour in oxide fuel for advanced engineering tools
Abstract
The description of intra-granular fission gas behaviour is a fundamental part of any model for the prediction of fission gas release and swelling in nuclear fuel. In this work, we present a model representing the evolution of intra-granular bubbles in terms of bubble number density and average bubble size. The model considers the fundamental processes of single gas atom diffusion, gas bubble nucleation, bubble re-solution, and gas atom trapping at bubbles. The model is derived from a detailed cluster dynamics formulation yet consists of only three differential equations in its final form; hence, it can be efficiently applied in engineering fuel performance codes while retaining a physical basis. We discuss the improvements made in our model in comparison to previous models for intra-granular bubble evolution. We validate the model against experimental data, both in terms of bubble number density and average bubble radius. Lastly, we perform an uncertainty analysis, by propagating the uncertainties in the parameters to the model results.
- Authors:
- Publication Date:
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1421777
- Alternate Identifier(s):
- OSTI ID: 1631707
- Report Number(s):
- INL/JOU-17-43663-Rev000
Journal ID: ISSN 0022-3115; S0022311517315039; PII: S0022311517315039
- Grant/Contract Number:
- SC0016464; 754329; AC07-05ID14517
- Resource Type:
- Published Article
- Journal Name:
- Journal of Nuclear Materials
- Additional Journal Information:
- Journal Name: Journal of Nuclear Materials Journal Volume: 502 Journal Issue: C; Journal ID: ISSN 0022-3115
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; Fission gas
Citation Formats
Pizzocri, D., Pastore, G., Barani, T., Magni, A., Luzzi, L., Van Uffelen, P., Pitts, S. A., Alfonsi, A., and Hales, J. D. A model describing intra-granular fission gas behaviour in oxide fuel for advanced engineering tools. Netherlands: N. p., 2018.
Web. doi:10.1016/j.jnucmat.2018.02.024.
Pizzocri, D., Pastore, G., Barani, T., Magni, A., Luzzi, L., Van Uffelen, P., Pitts, S. A., Alfonsi, A., & Hales, J. D. A model describing intra-granular fission gas behaviour in oxide fuel for advanced engineering tools. Netherlands. https://doi.org/10.1016/j.jnucmat.2018.02.024
Pizzocri, D., Pastore, G., Barani, T., Magni, A., Luzzi, L., Van Uffelen, P., Pitts, S. A., Alfonsi, A., and Hales, J. D. Sun .
"A model describing intra-granular fission gas behaviour in oxide fuel for advanced engineering tools". Netherlands. https://doi.org/10.1016/j.jnucmat.2018.02.024.
@article{osti_1421777,
title = {A model describing intra-granular fission gas behaviour in oxide fuel for advanced engineering tools},
author = {Pizzocri, D. and Pastore, G. and Barani, T. and Magni, A. and Luzzi, L. and Van Uffelen, P. and Pitts, S. A. and Alfonsi, A. and Hales, J. D.},
abstractNote = {The description of intra-granular fission gas behaviour is a fundamental part of any model for the prediction of fission gas release and swelling in nuclear fuel. In this work, we present a model representing the evolution of intra-granular bubbles in terms of bubble number density and average bubble size. The model considers the fundamental processes of single gas atom diffusion, gas bubble nucleation, bubble re-solution, and gas atom trapping at bubbles. The model is derived from a detailed cluster dynamics formulation yet consists of only three differential equations in its final form; hence, it can be efficiently applied in engineering fuel performance codes while retaining a physical basis. We discuss the improvements made in our model in comparison to previous models for intra-granular bubble evolution. We validate the model against experimental data, both in terms of bubble number density and average bubble radius. Lastly, we perform an uncertainty analysis, by propagating the uncertainties in the parameters to the model results.},
doi = {10.1016/j.jnucmat.2018.02.024},
journal = {Journal of Nuclear Materials},
number = C,
volume = 502,
place = {Netherlands},
year = {Sun Apr 01 00:00:00 EDT 2018},
month = {Sun Apr 01 00:00:00 EDT 2018}
}
https://doi.org/10.1016/j.jnucmat.2018.02.024
Web of Science
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