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Contribution à la prédiction du déroulement de scénarios d'accidents graves dans un RNR-Na

Abstract : Severe accidents’ modeling is required for the design and safety analysis of ASTRID, a Generation IV Sodium-cooled Fast Reactor under development in France. This thesis aims at contributing to identify the driving processes of ASTRID’s severe accidents scenarios. First, a stability criterion is developed to analyze the beginning of an unprotected loss of flow accident. This stability criterion assesses whether the decreasing flow is stable or unstable, leading to the core disassembly. This criterion also considers power variations during the loss of flow, which former stability criteria do not take into account. Then, the driving processes of a transient involving a fuel vaporisation followed by its vapor expansion are identified using a dimensional analysis. The simplifications justified by this dimensional analysis are considered further to develop a numerical tool that computes the mechanical energy transmitted to the core vessel in case of fuel vaporisation. The thermal exchange between the expanding fuel vapor and the sodium coolant is especially analyzed. The tool is validated by comparing its results to experimental measures and to another tool’s computations. In the end, parametric studies are done in order to assess the tool computations’ variability induced by physical uncertainties or modeling options.
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Xavier Manchon. Contribution à la prédiction du déroulement de scénarios d'accidents graves dans un RNR-Na. Autre. Université de Lyon, 2017. Français. ⟨NNT : 2017LYSEC047⟩. ⟨tel-01706775⟩

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