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基于遗传算法的反应堆三维屏蔽结构高维多目标优化方法研究

Study on many-objective optimization method for reactor 3D shielding structure based on Genetic Algorithm
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摘要 辐射屏蔽设计是反应堆设计的重要组成,面向陆海空天全域的新型核动力技术的发展对辐射屏蔽优化设计方法提出了新需求。采用传统屏蔽结构多目标优化方法处理三维屏蔽结构优化问题时,存在寻优速度慢、难以收敛、全局性差等缺陷,基于第三代非支配排序遗传算法(Non-dominated Sorting Genetic Algorithm Ⅲ,NSGA-Ⅲ),开展面向三维屏蔽结构设计的高维多目标优化方法研究。基于核反应堆三维屏蔽结构模型,以屏蔽层重量、体积和特定区域辐射剂量率为优化目标,开展NSGA-Ⅲ优化方法的性能对比分析研究。数值结果表明:本文建立的高维多目标优化方法可更高效、稳定地搜寻Pareto前沿解,可为辐射屏蔽设计优化提供新思路。 [Background]Radiation shielding design is an important part of reactor design, and the development of new nuclear power technology for various kinds of reactors has put forward new demands on radiation shielding optimization design methods. [Purpose]This study aims to overcome the shortcomings of the traditional multiobjective optimization methods for shielding structures in dealing with the optimization problem of 3D shielding structures, such as slow optimization speed, difficulty in convergence, and poor globalization. [Methods]Based on the non-dominated sorting genetic algorithm Ⅲ(NSGA-Ⅲ), the many-objective optimization method for 3D shielding structure design for nuclear reactor was proposed. The Monte Carlo N-Particle Transport Code(MCNP)was employed to analyze comparative performance of the NSGA-Ⅲ optimization method on the basis of the 3D shielding structure model of nuclear reactors, and shield weight, volume and radiation dose rate in specific regions were taken as the optimization targets. [Results & Conclusions]The numerical simulation results show that the NSGA-Ⅲ based optimization method for 3D shielding structure design can search for the Pareto-optimal front more efficiently and stably, providing a new idea for the optimization of radiation shielding design.
作者 张华健 陈珍平 刘程伟 杨超 谭波 甘斌 陈富财 于涛 ZHANG Huajian;CHEN Zhenping;LIU Chengwei;YANG Chao;TAN Bo;GAN Bin;CHEN Fucai;YU Tao(School of Nuclear Science and Technology,University of South China,Hengyang 421001,China;Science and Technology on Reactor System Design Technology Laboratory,Nuclear Power Institute of China,Chengdu 610213,China;Hunan Engineering&Technology Research Center for Virtual Nuclear Reactor,Hengyang 421001,China)
出处 《核技术》 CAS CSCD 北大核心 2022年第11期99-109,共11页 Nuclear Techniques
基金 湖南省自然科学基金项目(No.2022JJ40345) 国家自然科学基金(No.12175101) 湖南省科技创新计划(No.2020RC4053) 南华大学研究生科研创新项目(No.213YXC009)资助。
关键词 辐射屏蔽 NSGA-Ⅲ 高维多目标问题 屏蔽结构优化 核反应堆 Radiation shielding NSGA-Ⅲ Many-objective optimization problem Shielding structure optimization Nuclear reactor
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