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Your search keyword '"Song, Jing"' showing total 19 results
Start Over Author "Song, Jing" Journal annals of nuclear energy
19 results on '"Song, Jing"'

19. An artificial neural network based neutron field reconstruction method for reactor

Author

Fds Team, Wu Yican, Cao Pei, Long Pengcheng, Gan Quan, Wang Fang, Hu Liqin, and Song Jing

Subjects
Physics, Field (physics), Artificial neural network, Truncation, Plane (geometry), 020209 energy, Nuclear engineering, Detector, 02 engineering and technology, 01 natural sciences, 010305 fluids & plasmas, Matrix (mathematics), Nuclear Energy and Engineering, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Neutron, Energy (signal processing)
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.

Published
2020

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