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作 者:郑征[1] 王梦琪[1] 梅其良[1] 黎辉[1] Zheng Zheng;Wang Mengqi;Mei Qiliang;Li Hui(Shanghai Nuclear Engineering Research and Design Institute Co.,Ltd.,Shanghai,200233,China)
机构地区:[1]上海核工程研究设计院股份有限公司,上海200233
出 处:《核动力工程》2025年第2期217-221,共5页Nuclear Power Engineering
基 金:国家重点研发计划项目(2022YFB1902800)。
摘 要:现有屏蔽设计优化技术通常依赖设计者的经验,其效率低,不确定性大。为了提高屏蔽设计效率,本文结合多目标优化算法和辐射屏蔽计算开展屏蔽设计,开发了基于粒子输运-活化计算-智能优化的三向耦合计算程序,并基于本文构造的屏蔽计算模型进行了验证。数值计算结果表明,基于离散纵标方法和遗传算法的屏蔽设计优化方法可以实现屏蔽材料体积、屏蔽材料质量、停堆后活化剂量率和正常运行剂量率等多个目标的同时优化。Existing shielding design optimization techniques usually rely on the experience of the designer,which is inefficient and has high uncertainty.In order to improve the efficiency of shielding design,this paper combines the multi-objective optimization algorithm and radiation shielding calculation to carry out shielding design,and develops a three-way coupling calculation code based on particle transport-activation calculation-intelligent optimization.The code is validated using the shielding calculation model constructed in this study.The numerical results show that the shielding design optimization method based on the discrete ordinate method and genetic algorithm can achieve the simultaneous optimization of multiple objectives,such as shielding volume,weight,activation dose rate after reactor shutdown and normal operation dose rate.
分 类 号:TL328[核科学技术—核技术及应用]
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