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An artificial neural network based neutron field reconstruction method for reactor

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Abstract Nowadays, there are many reconstruction methods base on the ex-core detectors to monitor the state of the core in real-time, but none of these methods can calculate the neutron… Click to show full abstract

Abstract Nowadays, there are many reconstruction methods base on the ex-core detectors to monitor the state of the core in real-time, but none of these methods can calculate the neutron spectrum which has always been an essential parameter in advanced reactors design, performance diagnoses and safe operation. Thus, by utilizing ex-core measurements, a reconstruction neutron field with energy distributions method based on artificial neural networks was proposed in this paper. Furthermore, in this study, in order to amplify the contribution of low-energy neutrons to the ex-core detectors, the idea of truncation plane is used to calculate the response matrix library. To validate the method, neutron field of pressure vessel regions and core regions in a homogenized assembly-level VENUS-3 reactor model were obtained through transport calculation and reconstruction calculation. The comparison of results demonstrated that the reconstruction method was effective and available to reconstruct the neutron spectrum in reactors.

Keywords: reconstruction; neutron field; artificial neural; reconstruction method

Journal Title: Annals of Nuclear Energy
Year Published: 2020

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