Artificial neural network modeling for fission gas release in LWR UO2 fuel under RIA conditions-Reference-Cited by-同舟云学术

Artificial neural network modeling for fission gas release in LWR UO2 fuel under RIA conditions

Published:2010-10 Issue:1 Volume:405 Page:33-43
ISSN:0022-3115
Container-title:Journal of Nuclear Materials
language:en
Short-container-title:Journal of Nuclear Materials

Author:

Koo Yang-Hyun,Oh Jae-Yong,Lee Byung-Ho,Tahk Young-Wook,Song Kun-Woo

Publisher

Elsevier BV

Subject

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

Reference39 articles.

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2. Conservative Width of High-Burnup Structure in Light Water Reactor UO2 Fuel as a Function of Pellet Average Burnup

3. W. Liu, A. Romano, M. Kazimi, Modeling high burnup fuel fission gas release and swelling during fast transients, in: International Topical Meeting on LWR Fuel Performance, Orlando, Florida, September 19–22, 2004.

4. W. Liu, M. Kazimi, Modeling high-burnup BWR fuel behavior, in: International Conference on LWR Fuel Performance, Kyoto, Japan, October 2–6, 2005.

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