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作 者:张宇 李朋洲[1] 乔红威[1] 缪雨菡 高李霞[1] 喻丹萍[1] 孙磊[1] Zhang Yu;Li Pengzhou;Qiao Hongwei;Miao Yuhan;Gao Lixia;Yu Danping;Sun Lei(Nuclear Power Institute of China,Chengdu,610213,China)
出 处:《核动力工程》2023年第4期116-120,共5页Nuclear Power Engineering
摘 要:为充分提升材料利用率和避开堆内构件基阶频率,针对堆内构件流致振动(FIV)试验支承结构开展了基于多目标优化算法的参数寻优研究。首先建立了支承有限元模型,并将支承质量、最大应力强度和基阶频率作为优化目标,然后通过加强帕累托进化算法(SPEA-Ⅱ)对多目标优化问题进行了全局寻优,最终得到输入与输出参数间的全局敏感度和帕累托解集,并给出了可行的支承设计方案。通过对支承开展多目标优化,在保证结构强度的同时显著降低了制造成本,相关研究可为类似的支承设计提供参考。In order to fully improve the material utilization rate and isolate the fundamental frequency of the reactor internals,a parameter optimization study based on multi-objective optimization algorithm was carried out for the support structure in the flow induced vibration(FIV)test.The finite element model of support was established first,and the support quality,maximum stress intensity and fundamental frequency were regarded as the optimization goals.Then,the strength pareto evolutionary algorithm(SPEA-Ⅱ)was utilized to obtain global optimal solutions.Finally,the global sensitivity between the input and output parameters and pareto solution set were obtained,and a feasible support design scheme was given.By carrying out multi-objective optimization for the support,the manufacturing cost was significantly reduced while the structural strength was guaranteed.The related work can provide reference for similar support design.
关 键 词:堆内构件 流致振动(FIV) 支承设计 多目标优化
分 类 号:TL353.9[核科学技术—核技术及应用] O342[理学—固体力学]
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