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基于Ordered-RAMP模型的热固耦合结构多材料拓扑优化方法
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  • 英文篇名:Multi-material Topology Optimization for Thermo-elastic Coupling Structure Based on Ordered-RAMP Method
  • 作者:赵清海 ; 张洪信 ; 华青松 ; 蒋荣超 ; 袁林
  • 英文作者:Zhao Qinghai;Zhang Hongxin;Hua Qingsong;Jiang Rongchao;Yuan Lin;National Engineering Research Center for Intelligent Electrical Vehical Power System, Qingdao University;Mechanical and Electrical Engineering College, Qingdao University;
  • 关键词:拓扑优化 ; 热固耦合 ; 多材料设计 ; 多目标优化
  • 英文关键词:topology optimization;;thermo-elastic coupling field;;multi-material design;;multi-objective optimization
  • 中文刊名:JSJF
  • 英文刊名:Journal of Computer-Aided Design & Computer Graphics
  • 机构:青岛大学电动汽车智能化动力集成技术国家地方联合工程研究中心;青岛大学机电工程学院;
  • 出版日期:2019-02-15
  • 出版单位:计算机辅助设计与图形学学报
  • 年:2019
  • 期:v.31
  • 基金:国家自然科学基金(51705268);; 山东省自然科学基金(ZR2016EEB20);; 中国博士后科学基金(2017M612191)
  • 语种:中文;
  • 页:JSJF201902017
  • 页数:9
  • CN:02
  • ISSN:11-2925/TP
  • 分类号:160-168
摘要
针对传统单材料热固耦合拓扑优化设计难以实现结构材料与性能综合最优的问题,提出一种基于变密度理论有序材料属性有理近似模型的多材料拓扑优化方法.该方法通过搭建比例系数与平移系数,将多种材料属性采用[0,1]连续分布的单设计变量进行描述,并研究和比较与有序固体各向同行惩罚微结构模型的优缺点;其次借助归一化加权方法定义以结构柔度最小化和散热弱度最小化为目标函数的数学模型.结合设计变量敏度分析,详细推导多材料、多目标条件下热固耦合结构拓扑优化的迭代公式.通过数值算例分析对比了不同权系数以及不同材料属性组合对优化结果的影响;结果表明,所提出的优化方法在热固耦合结构多材料多目标拓扑优化设计中具有可行性和有效性.
        In general, it is difficult for single material thermo-elastic coupling topology optimization to obtain the comprehensive optimum of structural materials and properties. In this study, a multi-material topology optimization approach based on the ordered rational approximation of material properties(Ordered-RAMP) is proposed. In this method, the proportional and translation coefficients are established and the associated materials properties are described by a single design variable with [0,1] continuous distribution. The pros and cons of the proposed method were investigated and compared with the ordered solid isotropic microstructures with penalization(Ordered-SIMP). The normalized weighting method is introduced to construct the multi-objective function with minimization of structural compliance and heat dissipation, followed by sensitivity analysis of design variables. The iterative formation of thermo-elastic coupling topology optimization is derived under the multi-material and multi-objective conditions. The effects of weight coefficients and materials combination on the optimal results were analyzed through numerical examples. The results are shown that the proposed method is feasible and efficient to the multi-material-based ther-mo-elastic coupling topology optimization problems.
引文
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