Tools for global and target sensitivity analyses in the context of high-dimensional thermal-hydraulic numerical experiments
Résumé
In nuclear engineering, the quantification of the input uncertainties and their propagation through high-fidelity computer models in order to estimate relevant statistical quantities of interest constitute the core phases of the so-called "best-estimate plus uncertainty" (BEPU) methodology. However, several methodological and numerical issues can make the BEPU methodology difficult to execute in practice, and in particular, the large number (e.g., up to one hundred in our case) of uncertain input variables. Recently, an advanced BEPU methodology, called ICSCREAM, has been proposed for the identification of penalizing configurations in high-dimensional framework. The present work aims to detail the first step of the ISCREAM method which consists in identifying and ranking the primary influential inputs. For this purpose, global and target sensitivity analyses based on dependence measures are performed. Their principles and estimation techniques are explained, as well as their pragmatic implementation. Their use is then illustrated on an industrial use case simulating an intermediate-break loss-of-coolant accident via the CATHARE2 simulator.
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