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Uncertainty and sensitivity analysis in performance assessment for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada

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  • Helton, Jon C.
  • Hansen, Clifford W.
  • Sallaberry, Cédric J.

Abstract

Extensive work has been carried out by the U.S. Department of Energy (DOE) in the development of a proposed geologic repository at Yucca Mountain (YM), Nevada, for the disposal of high-level radioactive waste. As part of this development, a detailed performance assessment (PA) for the YM repository was completed in 2008 and supported a license application by the DOE to the U.S. Nuclear Regulatory Commission (NRC) for the construction of the YM repository. The following aspects of the 2008 YM PA are described in this presentation: (i) conceptual structure and computational organization, (ii) uncertainty and sensitivity analysis techniques in use, (iii) uncertainty and sensitivity analysis for physical processes, and (iv) uncertainty and sensitivity analysis for expected dose to the reasonably maximally exposed individual (RMEI) specified the NRC’s regulations for the YM repository.

Suggested Citation

  • Helton, Jon C. & Hansen, Clifford W. & Sallaberry, Cédric J., 2012. "Uncertainty and sensitivity analysis in performance assessment for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 44-63.
    • Handle: RePEc:eee:reensy:v:107:y:2012:i:c:p:44-63
    DOI: 10.1016/j.ress.2011.07.002
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    Cited by:

    1. Steiner, M. & Bourinet, J.-M. & Lahmer, T., 2019. "An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 323-340.
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    3. Hou, Tianfeng & Nuyens, Dirk & Roels, Staf & Janssen, Hans, 2019. "Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    4. McFarland, John & DeCarlo, Erin, 2020. "A Monte Carlo framework for probabilistic analysis and variance decomposition with distribution parameter uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    5. Chakraborty, Souvik & Chowdhury, Rajib, 2017. "A hybrid approach for global sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 50-57.
    6. Helton, J.C. & Hansen, C.W. & Sallaberry, C.J., 2014. "Conceptual structure and computational organization of the 2008 performance assessment for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada," Reliability Engineering and System Safety, Elsevier, vol. 122(C), pages 223-248.
    7. Deman, G. & Kerrou, J. & Benabderrahmane, H. & Perrochet, P., 2015. "Sensitivity analysis of groundwater lifetime expectancy to hydro-dispersive parameters: The case of ANDRA Meuse/Haute-Marne site," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 276-286.
    8. Saveleva, Elena & Svitelman, Valentina & Blinov, Petr & Valetov, Dmitry, 2021. "Sensitivity analysis and model calibration as a part of the model development process in radioactive waste disposal safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    9. Rechard, Rob P. & Freeze, Geoff A. & Perry, Frank V., 2014. "Hazards and scenarios examined for the Yucca Mountain disposal system for spent nuclear fuel and high-level radioactive waste," Reliability Engineering and System Safety, Elsevier, vol. 122(C), pages 74-95.
    10. Rechard, Rob P., 2014. "Results from past performance assessments for the Yucca Mountain disposal system for spent nuclear fuel and high-level radioactive waste," Reliability Engineering and System Safety, Elsevier, vol. 122(C), pages 207-222.
    11. Rechard, Rob P. & Wilson, Michael L. & Sevougian, S. David, 2014. "Progression of performance assessment modeling for the Yucca Mountain disposal system for spent nuclear fuel and high-level radioactive waste," Reliability Engineering and System Safety, Elsevier, vol. 122(C), pages 96-123.
    12. Helton, Jon C. & Brooks, Dusty M. & Sallaberry, Cédric J., 2020. "Margins associated with loss of assured safety for systems with multiple weak links and strong links," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    13. Narkuniene, Asta & Poskas, Povilas & Kilda, Raimondas & Bartkus, Gytis, 2015. "Uncertainty and sensitivity analysis of radionuclide migration through the engineered barriers of deep geological repository: Case of RBMK-1500 SNF," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 8-16.
    14. Zhang, Xiaoge & Mahadevan, Sankaran & Lau, Nathan & Weinger, Matthew B., 2020. "Multi-source information fusion to assess control room operator performance," Reliability Engineering and System Safety, Elsevier, vol. 194(C).

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