Study on multi-objective optimization method for radiation shield design of nuclear reactors

Yao Wu1, Bin Liu2,3, Xiaowei Su4, Songqian Tang1, Mingfei Yan5,6, Liangming Pan2,3
1Nuclear Power Institute of China, Chengdu 610213, China
2Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Chongqing University, Ministry of Education, Chongqing 400044, China
3Department of Nuclear Engineering and Technology, Chongqing University, Chongqing, 400044, China
4China Nuclear Power Technology Research Institute CO., LTD., Shenzhen 518026, China
5RIKEN Center for Advanced Photonics, RIKEN, Wako, Saitama, Japan
6School of Energy and Power Engineering, Xi'an Jiaotong University, Xi’an 710049, China

Tài liệu tham khảo

Yamaji, 1994, Shield design to obtain compact marine reactor, J. Nucl. Sci. Technol., 31, 510, 10.1080/18811248.1994.9735185 El-Genk, 2009, Deployment history and design considerations for space reactor power systems, Acta Astronaut., 64, 833, 10.1016/j.actaastro.2008.12.016 2010 Hu, 2008, Study on composite material for mixed neutron and gamma-rays shielding, IEEE Trans. on Nuclear Science, 55, 2376, 10.1109/TNS.2008.2000800 Yao, 2018, Optimization for radiation shielding material aiming at compactness, lightweight, and low activation for a vehicle-mounted accelerator-driven D-T neutron source, Appl. Radiat. Isot., 135, 147 Chen, 2019, Metaheuristic optimization method for compact reactor radiation shielding design based on genetic algorithm, Ann. Nucl. Energy, 134, 318, 10.1016/j.anucene.2019.06.031 Chen, 2020, Multi-objective optimization strategies for radiation shield design with genetic algorithm, Comput. Phys. Commun., 260, 1, 10.1016/S0010-4655(98)00078-2 Blizard, 1962 Wang, 2020, A high performance parallel SN code for core analysis and shield calculation, Nucl. Eng. Des., 366, 110711, 10.1016/j.nucengdes.2020.110711 White, 1996 X-5 Monte Carlo Team, 2003 Zhou, 1999 Liu, 2022, Multi-objective optimization design of radiation shadow shield for space nuclear power with genetic algorithm, Front. Energy Res., 1, 8009301 Gen, 2000 Chen, 2010, Study on multi-objective reactive power optimization based on genetic algorithm with adaptive weight, Power System Protection and Control, 6, 1 Zhang, 2007, MOEA/D: a multi-objective evolutionary algorithm based on decomposition, IEEE Trans. Evol. Comput., 6, 712, 10.1109/TEVC.2007.892759 Deb, 2002, A fast and elitist multi-objective genetic algorithm: NSGA-II, IEEE Trans. Evol. Comput., 2, 182, 10.1109/4235.996017 Deb, 2014, 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, 577, 10.1109/TEVC.2013.2281535