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Article . 2022
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Article . 2022
License: CC BY
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ZENODO
Article . 2022
License: CC BY
Data sources: Datacite
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Adressing Uncertainty Analyses

descriptionPublicationkeyboard_double_arrow_right Article 06 Jan 2022Publisher:ZenodoFunded by:EC | R2CA
Authors: Giannotti;

doi: 10.5281/zenodo.7628986 , 10.5281/zenodo.7628985

Adressing Uncertainty Analyses

Abstract

The complexity of the analysis of an accident in a NPP require a multiphysic approach. Different specific codes are used in a coupled way to obtain a global best estimate evaluation of the NPP. This poses the issue of the evaluation of the uncertainty for such kind of calculations and the development of suitable methodologies. In the framework of the project the potential uncertainties affecting the prediction of the plant behaviorduring selected accidents are investigated. The selected accidents are constituted by LOCA and SGTR. Both the accidents events are considered in the evolution as DBA and as DEC-A.

Keywords

Uncertainty evaluation, LOCA SGTR accidents, DBA DEC-A conditions, coupled code simulations, Uncertainty evaluation, LOCA SGTR accidents, DBA DEC-A conditions, coupled code simulations

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selected citations
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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).
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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!
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