Uncertainty Analysis for Corrosion Depth of Nuclear Spent Fuel Canister

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Description

Uncertainty analysis for corrosion depth of the spent nuclear fuel canister has been studied using differential analysis. It shows that the mean value presents a second-order linear increase while the variance demonstrates a first-order linear increase in 1000-year time history. By respectively incorporating correlation into pitting factor, uniform corrosion factor, oxygen concentration and chlorine concentration, it is found that the covariance of uniform corrosion factor and chlorine concentration has the highest contribution in the variance of total loss.

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8 pages

Creation Information

Shih, D. C-F.; Chuang, W-S.; Chang, S-S.; Kuo, M-C. & Lin, G-F. February 27, 2002.

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Description

Uncertainty analysis for corrosion depth of the spent nuclear fuel canister has been studied using differential analysis. It shows that the mean value presents a second-order linear increase while the variance demonstrates a first-order linear increase in 1000-year time history. By respectively incorporating correlation into pitting factor, uniform corrosion factor, oxygen concentration and chlorine concentration, it is found that the covariance of uniform corrosion factor and chlorine concentration has the highest contribution in the variance of total loss.

Physical Description

8 pages

Source

  • Waste Management 2002 Symposium, Tucson, AZ (US), 02/24/2002--02/28/2002

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  • Report No.: none
  • Office of Scientific & Technical Information Report Number: 828969
  • Archival Resource Key: ark:/67531/metadc782484

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Creation Date

  • February 27, 2002

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

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  • April 27, 2016, 1:14 p.m.

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Shih, D. C-F.; Chuang, W-S.; Chang, S-S.; Kuo, M-C. & Lin, G-F. Uncertainty Analysis for Corrosion Depth of Nuclear Spent Fuel Canister, article, February 27, 2002; Tucson, Arizona. (digital.library.unt.edu/ark:/67531/metadc782484/: accessed August 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.