Robustness of nuclear core activity reconstruction by data assimilation

Abstract

We apply a data assimilation techniques, inspired from meteorological applications, to perform an optimal reconstruction of the neutronic activity field in a nuclear core. Both measurements, and information coming from a numerical model, are used. We first study the robustness of the method when the amount of measured information decreases. We then study the influence of the nature of the instruments and their spatial repartition on the efficiency of the field reconstruction.

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• An Advanced Computational Scheme for the Optimization of 2D Radial Reflectors in Pressurized Water Reactors
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