Probabilistic Safety AssessmentsPresentations and Publications |
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Benke, R.R. and M.D. Waters. Consequence
Sensitivity Analyses for a Risk-Informed Review of a Preclosure
Safety Analysis. Proceedings of the Eighth International Conference
on Probabilistic Safety Assessment and Management. New Orleans,
Louisiana, May 14–18, 2006. M.G. Stamatelatos and H.S. Blackman
(Eds.) New York, New York: ASME Press. Paper PSAM-0440. 2006. Dasgupta, B., G. Adams, R. Benke, R.K.
Johnson, and M. Waters. Safety Assessment Tool Developed for Nuclear
Fuel Handling Facilities. Proceedings of the Eighth International
Conference on Probabilistic Safety Assessment and Management. New
Orleans, Louisiana, May 14–18, 2006. M.G. Stamatelatos and H.S.
Blackman (Eds.) New York, New York: ASME Press. Paper PSAM-0436.
2006. Pensado, O. and
B. Sagar. Techniques for Sensitivity Analyses on Non-Monotonic
Functions. Proceedings of the 8th International Conference on
Probabilistic Safety Assessment and Management; New Orleans,
Lousiana, USA; May 14–18, 2006. Michael G. Stamatelatos and Harold
S. Blackman, Editors. ASME Press, 2006. (Proceedings on CD-ROM) Grossman, C.J., B.W.
Leslie, T.J. McCartin, S. Mohanty, O. Pensado, and P. Bertetti. Risk Insights for Use in the U.S. Nuclear Regulatory
Commission's Program for the Potential Yucca Mountain Repository. Proceedings of the 8th
International Conference on Probabilistic Safety Assessment and
Management; New Orleans, Lousiana, USA; May 14–18, 2006. Michael G. Stamatelatos
and Harold S. Blackman, Editors. ASME Press, 2006. (Proceedings on
CD-ROM) Pensado, O. and
B. Sagar. Sensitivity Analysis of an Engineered Barrier System Model for the
Potential Repository System in the United States. Proceedings of the 7th
International Conference on Probabilistic Safety Assessment and
Management, Berlin, Germany, June 14–18, 2004. C. Spitzer, U. Schmocker,
and V. N. Dang, editors. London: Springer-Verlag. Volume 6, pp. 3123–3129.
2004. O. Pensado, V.
Troshanov, B. Sagar, and G. Wittmeyer. A Partitioning Method for Identifying
Model Parameters. Probabilistic Safety Assessment and Management (PSAM6).
E.J. Bonano, A.L. Camp, M.J. Majors, and R.A. Thompson, eds.
Kidlington, Oxford, UK: Elsevier Science Ltd. Volume I, p. 827–833, 2002.
For more information about probabilistic safety assessments,
presentations or publications, or how you can contract with
Southwest Research Institute (SwRI), please contact
Dr. Sitakanta Mohanty
at
smohanty@swri.org or
(210) 522-5185. |
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Center for Nuclear Waste Regulatory Analyses |
Department of
Earth, Material and Planetary Sciences |
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Southwest Research Institute® (SwRI®), headquartered in San Antonio, Texas, is a multidisciplinary, independent, nonprofit, applied engineering and physical sciences research and development organization with 11 technical divisions. |
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April 02, 2012 |
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