中国机械工程

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碳纤维增强复合材料加固中心孔钢板综合优化

伍希志1;程军圣2   

  1. 1.中南林业科技大学交通运输与物流学院,长沙,410082
    2.湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082
  • 出版日期:2017-06-10 发布日期:2017-06-13
  • 基金资助:
    国家高技术研究发展计划(863计划)资助项目(2013AA040203);
    国家自然科学基金资助项目(51305045);
    中国博士后科学基金资助项目(2014M562099);
    智能型新能源汽车国家2011协同创新中心资助项目;
    湖南省绿色汽车2011协同创新中心资助项目

Optimization of Carbon Fiber Reinforced Polymer Reinforcing Center Hole Steel Plates

WU Xizhi1;CHENG Junsheng2   

  1. 1.College of Transportation and Logistics, Central South University of Forestry and Technology,Changsha,410082
    2.Stake Key Laboratory of Aduanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha,410082
  • Online:2017-06-10 Published:2017-06-13
  • Supported by:
    National High Technology Research and Development Program of China(No. 2013AA040203)
    National Natural Science Foundation of China (No. 51305045)
    China Postdoctoral Science Foundation (No. 2014M562099)

摘要: 采用多级优化方法对碳纤维增强复合材料加固中心孔钢板进行优化设计,首先,采用拉丁超立方方法选取试验样本点,利用移动最小二乘法拟合近似代理模型,在代理模型基础上采用自适应响应面优化方法优化基本铺层厚度;然后,结合复合材料制造约束条件,利用Optistruct对铺层顺序进行优化,得到最佳铺层设计方案。经过多级优化设计后,钢板中心孔处应力分布更合理,最大Mises应力减小了56.6%。

关键词: 碳纤维增强复合材料, 拉丁超立方, 移动最小二乘法, 自适应响应面, 铺层顺序优化

Abstract: A multi-stage optimization method was adopted for carbon fiber reinforced polymer reinforcing center hole steel plate. The method was divided into two steps: firstly, sample points were selected based on the Latin hypercube method, an agent model was fitted by the moving least square, and the thickness of basic laminate was optimized based on the adaptive response surface optimization method. Secondly, considering composite's manufacturing constraints, the stacking sequence was optimized by use of Optistruct software to obtain optimum design. Through the multi-stage optimization design, the stress of center hole steel plate is distributed more reasonable, and the maximum Mises stress is reduced by 56.6%.

Key words: carbon fiber reinforced polymer, Latin hypercube, moving least square, adaptive response surface method, stacking sequence optimization

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