Sensitivity of probabilistic MCO water content estimates to key assumptions

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Description

Sensitivity of probabilistic multi-canister overpack (MCO) water content estimates to key assumptions is evaluated with emphasis on the largest non-cladding film-contributors, water borne by particulates adhering to damage sites, and water borne by canister particulate. Calculations considered different choices of damage state degree of independence, different choices of percentile for reference high inputs, three types of input probability density function (pdfs): triangular, log-normal, and Weibull, and the number of scrap baskets in an MCO.

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122 pages

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DUNCAN, D.R. February 25, 1999.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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  • Hanford Site (Wash.)
    Publisher Info: HNF Hanford Site (United States)
    Place of Publication: United States

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Description

Sensitivity of probabilistic multi-canister overpack (MCO) water content estimates to key assumptions is evaluated with emphasis on the largest non-cladding film-contributors, water borne by particulates adhering to damage sites, and water borne by canister particulate. Calculations considered different choices of damage state degree of independence, different choices of percentile for reference high inputs, three types of input probability density function (pdfs): triangular, log-normal, and Weibull, and the number of scrap baskets in an MCO.

Physical Description

122 pages

Notes

INIS; OSTI as DE00781573

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  • Other Information: PBD: 25 Feb 1999

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  • Report No.: HNF--2234--REV2
  • Report No.: EW3135040
  • Grant Number: AC06-96RL13200
  • DOI: 10.2172/781573 | External Link
  • Office of Scientific & Technical Information Report Number: 781573
  • Archival Resource Key: ark:/67531/metadc723372

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • February 25, 1999

Added to The UNT Digital Library

  • Sept. 29, 2015, 5:31 a.m.

Description Last Updated

  • April 27, 2016, 4:28 p.m.

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DUNCAN, D.R. Sensitivity of probabilistic MCO water content estimates to key assumptions, report, February 25, 1999; United States. (digital.library.unt.edu/ark:/67531/metadc723372/: accessed October 19, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.