Study on multi-objective optimization method for radiation shield design of nuclear reactors
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
The optimization design problem of nuclear reactor radiation shield is a typical multi-objective optimization problem with almost 10 sub-objectives and the sub-objectives are always demanded to be under tolerable limits. In this paper, a design method combining multi-objective optimization algorithms with paralleling discrete ordinate transportation code is developed and applied to shield design of the Savannah nuclear reactor. Three approaches are studied for light-weighted and compact design of radiation shield. Comparing with directly optimization with 10 objectives and the single-objective optimization, the approach by setting sub-objectives representing weight and volume as optimization objectives while treating other sub-objectives as constraints has the best performance, which is more suitable to reactor shield design.
Abstract
The optimization design problem of nuclear reactor radiation shield is a typical multi-objective optimization problem with almost 10 sub-objectives and the sub-objectives are always demanded to be under tolerable limits. In this paper, a design method combining multi-objective optimization algorithms with paralleling discrete ordinate transportation code is developed and applied to shield design of the Savannah nuclear reactor. Three approaches are studied for light-weighted and compact design of radiation shield. Comparing with directly optimization with 10 objectives and the single-objective optimization, the approach by setting sub-objectives representing weight and volume as optimization objectives while treating other sub-objectives as constraints has the best performance, which is more suitable to reactor shield design.
참고문헌 (18)
- A. Yamaji, "Shield design to obtain compact marine reactor", J. Nucl. Sci. Technol, 31(6), pp.510~520 (1994)
- M. S. El-Genk, "Deployment history and design considerations for space reactor power systems", Acta Astronaut, 64, pp.833~849 (2009)
- "Handbook of Nuclear Engineering" (2010), Springer
- Huasi Hu, "Study on composite material for mixed neutron and gamma-rays shielding", IEEE Trans. on Nuclear Science, 55(4), pp.2376~2384 (2008)
- Cai Yao, "Optimization for radiation shielding material aiming at compactness, lightweight, and low activation for a vehiclemounted accelerator-driven D-T neutron source", Appl. Radiat. Isot, 135(1), pp.147~154 (2018)
- Zhenping Chen, "Metaheuristic optimization method for compact reactor radiation shielding design based on genetic algorithm", Ann. Nucl. Energy, 134(1), pp.318~329 (2019)
- Z. P. Chen, "Multi-objective optimization strategies for radiation shield design with genetic algorithm", Comput. Phys. Commun, 260(1), pp.1~17 (2020)
- The Radiation Leakage Survey of the Shield of the Nuclear Ship Savannah, "E. P. Blizard", Oak Ridge National Laboratory, ~, pp.ORNL3336 (1962)
- Y. P. Wang, "Necp-Hydra, A high performance parallel SN code for core analysis and shield calculation", Nucl. Eng. Des, 366(1), pp.110711~110718 (2020)
- Production and Testing of the Revised VITAMIN-B6 Fine Group and the BUGLE-96 Broad Group Neutron, "photon Cross Section Libraries Derived from ENDF", B-BI.3 Nuclear Data, Revision 1, pp.1996, ~[DOI]
- X-5 Monte Carlo Team, "MCNP-A General N-Particle Transport Code", Los Alamos National Laboratory, ~ (2003)
- M. Zhou, "Genetic Algorithms : Theory and Applications" (1999), National Industrial Press
- Bin Liu, "Multi-objective optimization design of radiation shadow shield for space nuclear power with genetic algorithm", Front. Energy Res, 1(10), pp.8009301~8009306 (2022)
- M. Gen, "Genetic Algorithms an Engineering Optimization" (2000), John Wiley & Sons
- Deyu Chen, "Study on multi-objective reactive power optimization based on genetic algorithm with adaptive weight", Power System Protection and Control, 6(38), pp.1~7 (2010)
- Qingfu Zhang, "MOEA", D : a multi-objective evolutionary algorithm based on decomposition, 2007, pp.6(11), 712~731
- Kalyanmoy Deb, "A fast and elitist multi-objective genetic algorithm : NSGA-II", IEEE Trans. Evol. Comput, 2(6), pp.182~197 (2002)
- Kalyanmoy Deb, "An evolutionary many-objective optimization algorithm using reference-point based non-dominated sorting approach, Part I:solving Problems with Box Constraints", IEEE Trans. Evol. Comput, 18(4), pp.577~601 (2014)