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基于Kriging锚机墙架多目标轻量化设计

Multi-Objective Light Weight Design Based on Kriging Anchor Rack
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摘要 针对渔船甲板机械质量过重、材料存在冗余,以及传统轻量化方法耗时长、效率低等问题,提出一种基于Kriging模型的多目标轻量化设计方法。以某型号渔船锚机墙架为例,利用ANSYS对锚机墙架进行初始强度及刚度分析,运用Solidworks进行结构改进。根据墙架支撑连接特点,确定轻量化设计变量进行试验设计,利用试验设计数据建立Kriging响应面,通过多目标遗传算法对响应面模型进行轻量化设计。试验结果显示:墙架整体质量减轻26.45%,应力也大大降低。结果证明该方法对墙架轻量化设计是有效的,可为此类结构轻量化设计提供参考价值。 A multi-objective lightweight design method based on Kriging model is proposed to solve the problems of heavy deck machinery,redundant materials,long time consuming and low efficiency of traditional lightweight methods.Taking a model of fishing boat windlass wall frame as an example,ANSYS is used to analyze the initial strength and stiffness of the windlass wall frame,and Solidworks is used to improve the structure.According to the connection characteristics of the wall frame,lightweight design variables are determined to carry out experimental design.The Kriging response surface is established by using experimental design data,and the response surface model is designed by multi-objective genetic algorithm.The experimental results show that the overall mass of the wall frame is reduced by 26.45%and the stress is also greatly reduced.This method is effective for the lightweight design of the wall frame,which can provide some references for the lightweight design of this kind of structure.
作者 张昊 刘全良 贺波 ZHANG Hao;LIU Quanliang;HE Bo(College of Ocean Engineering Equipment,Zhejiang Ocean University,Zhoushan 316022,Zhejiang,China;Zhongtron Ocean Technology Co.,Ltd.,Zhoushan 316000,Zhejiang,China)
出处 《船舶工程》 CSCD 北大核心 2022年第5期112-117,共6页 Ship Engineering
关键词 KRIGING 试验设计 轻量化设计 多目标遗传算法(MOGA) Kriging experimental design lightweight design multi-objective genetic algorithm(MOGA)
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