...
首页> 外文期刊>Composite Structures >Multi-material topology optimization of laminated composite beam cross sections
【24h】

Multi-material topology optimization of laminated composite beam cross sections

机译:叠层复合梁截面的多材料拓扑优化

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This paper presents a novel framework for simultaneous optimization of topology and laminate properties in structural design of laminated composite beam cross sections. The structural response of the beam is evaluated using a beam finite element model comprising a cross section analysis tool which is suitable for the analysis of anisotropic and inhomogeneous sections of arbitrary geometry. The optimization framework is based on a multi-material topology optimization model in which the design variables represent the amount of the given materials in the cross section. Existing material interpolation, penalization, and filtering schemes have been extended to accommodate any number of anisotropic materials. The methodology is applied to the optimal design of several laminated composite beams with different cross sections. Solutions are presented for a minimum compliance (maximum stiffness) problem with constraints on the weight, and the shear and mass center positions. The practical applicability of the method is illustrated by performing optimal design of an idealized wind turbine blade subjected to static loading of aerodynamic nature. The numerical results suggest that the proposed framework is suitable for simultaneous optimization of cross section topology and identification of optimal laminate properties in structural design of laminated composite beams.
机译:本文提出了一种新颖的框架,用于同时优化叠层复合梁截面的结构设计中的拓扑和叠层特性。使用包含有限元分析工具的梁有限元模型评估梁的结构响应,该工具适用于分析任意几何形状的各向异性和不均匀截面。优化框架基于多材料拓扑优化模型,其中设计变量代表横截面中给定材料的数量。现有的材料插值,惩罚和过滤方案已得到扩展,以适应任何数量的各向异性材料。该方法被应用于具有不同横截面的几个层压复合梁的优化设计。针对重量,剪切力和质心位置的约束,提出了最小柔量(最大刚度)问题的解决方案。通过对承受空气动力学性质的静态载荷的理想化的风力涡轮机叶片进行优化设计,说明了该方法的实际适用性。数值结果表明,所提出的框架适用于同时进行截面拓扑优化和层合复合梁结构设计中最优层合特性的识别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号