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Probabilistic Safety Assessment and Management pp 3123–3129Cite as

Sensitivity Analysis of an Engineered Barrier System Model for the Potential Repository System in the United States

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Abstract

A sensitivity analysis of radionuclide release rate from the engineered barrier system as a function of time is performed to identify influential input parameters. The sensitivity analysis method is based on the principal component decomposition and the Partitioning Method.

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References

  1. Mohanty S, McCartin TJ, and Esh DW (coordinators). Total-system Performance Assessment (TPA) Version 4.0 Code: Module Descriptions and Users Guide (Revised). CNWRA, San Antonio, Texas, 2002.

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  2. McKay M and Campbell K. Approach to Sensitivity and Importance Analysis When the Output Variables Are Functions. Presented at 6th Conference in Probabilistic Safety Assessment and Management. San Juan, Puerto Rico. 2002.

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  3. Pensado O, Troshanov V, Sagar B, and Wittmeyer G: A Partitioning Method for Identifying Model Parameters. In: Bonano EJ, Camp AL, Majors MJ, and Thompson RA (eds). Probabilistic Safety Assessment and Management (PSAM6). Elsevier Science Ltd, Kidlington, Oxford, UK, 2002, Volume I, p. 827–833.

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  4. U.S. Nuclear Regulatory Commission. Disposal of High-Level Radioactive Wastes in a Proposed Geologic Repository at Yucca Mountain, Nevada; Final Rule. U.S. Federal Register. Vol. 66, No. 213, p. 55732. November 2, 2001.

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  5. Mohanty S and Wu Y-T: Mean-Based Sensitivity or Uncertainty Importance Measures for Identifying Influential Parameters. In: Bonano EJ, Camp AL, Majors MJ, and Thompson RA (eds). Probabilistic Safety Assessment and Management (PSAM6). Elsevier Science Ltd, Kidlington, Oxford, UK}, 2002}, Volume I}, p. 1079–

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Author information

Authors and Affiliations

  1. Southwest Research Institute®, Center for Nuclear Waste Regulatory Analyses, San Antonio, Texas, USA

    Osvaldo Pensado & Budhi Sagar

Authors
  1. Osvaldo Pensado
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  2. Budhi Sagar
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Editor information

Editors and Affiliations

  1. TÜV Süddeutschland, Dudenstrasse 28, D-68167, Mannheim, Germany

    Cornelia Spitzer Dipl.-Math.

  2. Swiss Federal Nuclear Safety Inspectorate (HSK), CH-5232, Villigen-HSK, Switzerland

    Ulrich Schmocker PhD

  3. Paul Scherrer Institut (PSI), CH-5232, Villigen PSI, Switzerland

    Vinh N. Dang PhD

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© 2004 Springer-Verlag London

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Cite this paper

Pensado, O., Sagar, B. (2004). Sensitivity Analysis of an Engineered Barrier System Model for the Potential Repository System in the United States. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_500

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_500

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

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