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The EC MUSA Project on Management and Uncertainty of Severe Accidents: Main Pillars and Status

Authors: Luis Enrique Herranz; Sara Beck; Victor Hugo Sánchez-Espinoza; Fulvio Mascari; Stephan Brumm; Olivia Coindreau; Sandro Paci;

The EC MUSA Project on Management and Uncertainty of Severe Accidents: Main Pillars and Status

Abstract

In the current state of maturity of severe accident codes, the time has come to foster the systematic application of Best Estimate Plus Uncertainties (BEPU) in this domain. The overall objective of the HORIZON-2020 project on “Management and Uncertainties of Severe Accidents (MUSA)” is to quantify the uncertainties of severe accident codes (e.g., ASTEC, MAAP, MELCOR, and AC2) when modeling reactor and spent fuel pools accident scenarios of Gen II and Gen III reactor designs for the prediction of the radiological source term. To do so, different Uncertainty Quantification (UQ) methodologies are to be used for the uncertainty and sensitivity analysis. Innovative AM measures will be considered in performing these UQ analyses, in addition to initial/boundary conditions and model parameters, to assess their impact on the source term prediction. This paper synthesizes the major pillars and the overall structure of the MUSA project, as well as the expectations and the progress made over the first year and a half of operation.

Countries
Germany, Italy, Germany
Keywords

safety, BEPU, Technology, ddc:600, uncertainty quantification, T, severe accidents, accident management, 600, MUSA, Uncertainties, nuclear fission; safety; severe accidents; BEPU; accident management; uncertainty quantification; source term, 620, nuclear fission, info:eu-repo/classification/ddc/600, source term, Severe Accidents

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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42
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