Journal article
Leonardo R.C. Moares, Ricardo C. Barros, Richard Vasques
Annals of Nuclear Energy, vol. 208, 2024, p. 110718
Annals of Nuclear Energy, vol. 208, 2024, p. 110718
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APA
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Moares, L. R. C., Barros, R. C., & Vasques, R. (2024). [J23] Generating optimal configurations for neutron source distribution in subcritical systems. A linear-programming approach. Annals of Nuclear Energy, 208, 110718. https://doi.org/10.1016/j.anucene.2024.110718
Chicago/Turabian
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Moares, Leonardo R.C., Ricardo C. Barros, and Richard Vasques. “[J23] Generating Optimal Configurations for Neutron Source Distribution in Subcritical Systems. A Linear-Programming Approach.” Annals of Nuclear Energy 208 (2024): 110718.
MLA
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Moares, Leonardo R. C., et al. “[J23] Generating Optimal Configurations for Neutron Source Distribution in Subcritical Systems. A Linear-Programming Approach.” Annals of Nuclear Energy, vol. 208, 2024, p. 110718, doi:10.1016/j.anucene.2024.110718.
BibTeX Click to copy
@article{leonardo2024a,
title = {[J23] Generating optimal configurations for neutron source distribution in subcritical systems. A linear-programming approach},
year = {2024},
journal = {Annals of Nuclear Energy},
pages = {110718},
volume = {208},
doi = {10.1016/j.anucene.2024.110718},
author = {Moares, Leonardo R.C. and Barros, Ricardo C. and Vasques, Richard}
}
ABSTRACT: This paper presents an approach to generate optimal configurations for the neutron source distribution in subcritical systems. These optimal configurations are modeled as linear programming optimization problems (LPOP), whose goal is to minimize the intensity of the neutron source distribution under constraints that define prescribed power density distribution in the subcritical system. The neutron source distribution simulates the neutrons released in spallation events in accelerator-driven subcritical reactors. Numerical results are given to illustrate that this approach can be used as an initial step of a computational tool to be used in the design of subcritical nuclear reactors. The supplementary computational tool aims at finding subcritical core configurations that can reduce the complexity of the high-energy particle accelerator.
