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基于代理模型的高速列车水箱结构多目标优化

Multi-objective Optimization of High-Speed Train Water Tank Structure Based on Surrogate Model
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摘要 基于Kriging代理模型和NSGA-II优化算法,以水箱质量和水箱静刚度为优化目标,研究高速列车水箱部件厚度的最优设计方案。首先,搭建水箱保压工况、静强度工况、疲劳工况的仿真模型;然后选取18个部件厚度作为设计变量,通过最优拉丁超立方方法进行采样,基于采样点搭建Kriging代理模型,并验证代理模型的拟合精度;最后以水箱质量和水箱静刚度为优化目标,采用NSGA-II优化算法对多目标优化问题进行求解,从而得到水箱部件厚度的最优设计方案。结果表明:在各项性能指标满足设计要求的前提下,水箱整体质量下降了17.36%,采用该优化方法能够有效提高水箱结构优化设计精度和效率。 Based on the Kriging surrogate model and NSGA-II optimization algorithm,this study investigates the optimal design of high-speed train water tank component thickness with the dual objectives of minimizing tank mass and maximizing static stiffness.First,simulation models were established for the water tank under pressure holding,static strength,and fatigue conditions.Eighteen component thickness parameters were selected as design variables,and optimal Latin hypercube sampling was employed to generate sample points.A Kriging surrogate model was constructed based on these samples,and its fitting accuracy was rigorously validated.Finally,the NSGA-II optimization algorithm was applied to solving the multi-objective optimization problem,yielding an optimal thickness design scheme.The results show that the overall water tank mass was reduced by 17.36%while satisfying all performance requirements,confirming that the proposed method effectively improves the accuracy and efficiency of structural optimization for water tank design.
作者 于腾杰 于运录 江民圣 Yu Tengjie;Yu Yunlu;Jiang Minsheng(Department of'Technologies,CRRC Academy(Qingdao)Co.,Ltd,Shandong,Qingdao 266109,China;Engineering Research Center of Railway Industry on Advanced Structural Materials,National Innovation Center(Qingdao)of High Speed Train,Shandong,Qingdao 266000,China)
出处 《铁道技术标准(中英文)》 2025年第6期38-45,共8页 Railway Technical Standard(Chinese & English)
基金 国家重点研发计划(2023YFB4302500)。
关键词 高速列车水箱 KRIGING模型 NSGA-II算法 多目标优化 high-speed train water tank kriging surrogate model NSGA-II algorithm multi-objective optimization
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