A method of on-line monitoring the reactor core flux distribution is proposed in this paper. In this method, the real in-core flux distribution is reconstructed on-line using the eigenfunctions of neutron diffusion equation. we expand the real in-core flux distribution by the eigenfunctions with linear combination and calculate the expansion coefficients according to the fixed in-core detector readings which are the real-time response of in-core flux distribution. For only a few expansion coefficients need to be calculated in monitoring process, this method has a high calculation speed to meet the requirement of on-line monitoring the reactor. A program named NLSANM-K (Nonlinear Iteration Semi-Analytic Nodal Method & Krylov subspace method) is encoded to calculate the eigenfunctions. The accuracy of the reconstruction is verified by comparing the reconstructed flux distribution with the results calculated by a core simulator SAMME.
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17th International Conference on Nuclear Engineering
July 12–16, 2009
Brussels, Belgium
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-4354-3
PROCEEDINGS PAPER
On-Line Monitoring the In-Core Flux Distribution Using the Eigenfunctions Available to Purchase
Changhui Wang,
Changhui Wang
Xi’an Jiaotong University, Xi’an, Shaanxi, China
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Hongchun Wu,
Hongchun Wu
Xi’an Jiaotong University, Xi’an, Shaanxi, China
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Liangzhi Cao
Liangzhi Cao
Xi’an Jiaotong University, Xi’an, Shaanxi, China
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Changhui Wang
Xi’an Jiaotong University, Xi’an, Shaanxi, China
Hongchun Wu
Xi’an Jiaotong University, Xi’an, Shaanxi, China
Liangzhi Cao
Xi’an Jiaotong University, Xi’an, Shaanxi, China
Paper No:
ICONE17-75236, pp. 381-386; 6 pages
Published Online:
February 25, 2010
Citation
Wang, C, Wu, H, & Cao, L. "On-Line Monitoring the In-Core Flux Distribution Using the Eigenfunctions." Proceedings of the 17th International Conference on Nuclear Engineering. Volume 4: Codes, Standards, Licensing and Regulatory Issues; Student Paper Competition. Brussels, Belgium. July 12–16, 2009. pp. 381-386. ASME. https://doi.org/10.1115/ICONE17-75236
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