Quantitative Phenomena Identification and Ranking Table (QPIRT) for Reactor Safety Analysis
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Buongiorno_Quantitative phenomena.pdf
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93.53 KB
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Author(s)
Buongiorno, Jacopo
Yurko, Joseph P
Date Issued
June 2011
Journal
Transactions of the American Nuclear Society
Publisher
American Nuclear Society
Citation
Yurko, Joseph, and Jacopo Buongiorno. "Quantitative Phenomena Identification and Ranking Table (QPIRT) for Reactor Safety Analysis." Transactions of the American Nuclear Society, Vol. 104, Hollywood, Florida, June 26-30, 2011.
Version
Author's final manuscript
Abstract
Next generation reactor safety analysis codes are intended to make use of advanced numerical methods and higher fidelity models with built-in sensitivity analysis (SA) and uncertainty quantification (UQ) [1]. However, due to the complex nature of uncertainty propagation in thermal-hydraulic codes, it is crucial to first narrow the focus to only the most important processes contributing to a particular figure of merit (FOM). Uncertainty propagation in the safety code is then performed through those dominant controlling phenomena. Traditionally, Phenomena Identification and Ranking Tables (PIRTs) based on expert opinion have been used to guide selection of the "most important processes." But in the present context, uncertainty propagation must be performed on the dominant processes as "viewed" by the safety code itself. Therefore a PIRT-like methodology must be applied to rank processes from the safety code's point of
view.
MIT Department
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
http://epubs.ans.org/?p=trans:104&pg=5
