Optimal design of measurement network for neutronic activity field reconstruction by data assimilation

Physics – Data Analysis – Statistics and Probability

Scientific paper

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24 pages, 10 figures

Scientific paper

10.1016/j.nima.2011.10.056

Using data assimilation framework, to merge information from model and measurement, an optimal reconstruction of the neutronic activity field can be determined for a nuclear reactor core. In this paper, we focus on solving the inverse problem of determining an optimal repartition of the measuring instruments within the core, to get the best possible results from the data assimilation reconstruction procedure. The position optimisation is realised using Simulated Annealing algorithm, based on the Metropolis-Hastings one. Moreover, in order to address the optimisation computing challenge, algebraic improvements of data assimilation have been developed and are presented here.

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