Uncertainty and Sensitivity Analysis: From Regulatory Requirements to Conceptual Structure and Computational Implementation - Archive ouverte HAL Access content directly
Conference Papers Year : 2012

Uncertainty and Sensitivity Analysis: From Regulatory Requirements to Conceptual Structure and Computational Implementation

(1) , (2)
1
2
Jon C. Helton
  • Function : Author
  • PersonId : 1007588

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.
Fichier principal
Vignette du fichier
978-3-642-32677-6_5_Chapter.pdf (439.72 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01518668 , version 1 (05-05-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Jon C. Helton, Cédric J. Sallaberry. Uncertainty and Sensitivity Analysis: From Regulatory Requirements to Conceptual Structure and Computational Implementation. 10th Working Conference on Uncertainty Quantification in Scientific Computing (WoCoUQ), Aug 2011, Boulder, CO, United States. pp.60-77, ⟨10.1007/978-3-642-32677-6_5⟩. ⟨hal-01518668⟩
175 View
54 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More