tWithin more general frameworks dealing with uncertainty evaluation and code assessment, well assessedmethodologies exist for the accuracy evaluation of system thermal hydraulic analysis results. As longas multi-dimensional transient data is involved, such as space and time distributions obtained fromCFD calculations and experiments, the task of quantifying the accuracy and defining acceptance criteriabecomes harder, and there seems to be a lack of systematic approaches available to that purpose.An example of such multi-dimensional data is represented by the time and space distribution of coolantproperties (e.g. temperature, boron concentration) at the reactor core inlet, which is relevant to reactorsafety as local perturbations potentially induce power excursions. An attempt is made here to tackle theaccuracy quantification issue for that class of data, in a somewhat empirical way, i.e. by proposing a setof parameters that can be used, after proper qualitative analysis of measured data and code simulationresults, to characterize the target variable time and space distributions, and to quantify the deviation ofthe simulation from the experimental data. The advantage of using such kind of metrics based on manyparameters relies in the ability to cover different relevant features of the target variables and thus providea more complete assessment and allow statements about the overall agreement

Accuracy quantification metrics for CFD simulation of in-vessel flows

D'AURIA, FRANCESCO SAVERIO
2014-01-01

Abstract

tWithin more general frameworks dealing with uncertainty evaluation and code assessment, well assessedmethodologies exist for the accuracy evaluation of system thermal hydraulic analysis results. As longas multi-dimensional transient data is involved, such as space and time distributions obtained fromCFD calculations and experiments, the task of quantifying the accuracy and defining acceptance criteriabecomes harder, and there seems to be a lack of systematic approaches available to that purpose.An example of such multi-dimensional data is represented by the time and space distribution of coolantproperties (e.g. temperature, boron concentration) at the reactor core inlet, which is relevant to reactorsafety as local perturbations potentially induce power excursions. An attempt is made here to tackle theaccuracy quantification issue for that class of data, in a somewhat empirical way, i.e. by proposing a setof parameters that can be used, after proper qualitative analysis of measured data and code simulationresults, to characterize the target variable time and space distributions, and to quantify the deviation ofthe simulation from the experimental data. The advantage of using such kind of metrics based on manyparameters relies in the ability to cover different relevant features of the target variables and thus providea more complete assessment and allow statements about the overall agreement
2014
Moretti, F.; D'Auria, FRANCESCO SAVERIO
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/834085
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