Abstract
An approach to the conversion of regulatory requirements into a conceptual and computational structure that permits meaningful uncertainty and sensitivity analyses is descibed. This approach is predicated on the description of the desired analysis in terms of three basic entities: (i) a probability space characterizing aleatory uncertainty, (ii) a probability space characterizing epistemic uncertainty, and (iii) a model that predicts system behavior. The presented approach is illustrated with results from the 2008 performance assessment for the proposed repository for high-level radioactive waste at Yucca Mountain, Nevada.
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Helton, J.C., Sallaberry, C.J. (2012). Uncertainty and Sensitivity Analysis: From Regulatory Requirements to Conceptual Structure and Computational Implementation. In: Dienstfrey, A.M., Boisvert, R.F. (eds) Uncertainty Quantification in Scientific Computing. WoCoUQ 2011. IFIP Advances in Information and Communication Technology, vol 377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32677-6_5
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DOI: https://doi.org/10.1007/978-3-642-32677-6_5
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