首页> 外文期刊>Advances in Mechanical Engineering >Simultaneous Topology and Size Optimization of 2D and 3D Trusses Using Evolutionary Structural Optimization with regard to Commonly Used Topologies
【24h】

Simultaneous Topology and Size Optimization of 2D and 3D Trusses Using Evolutionary Structural Optimization with regard to Commonly Used Topologies

机译:使用常用拓扑结构的演化结构优化同时进行2D和3D桁架的拓扑结构和尺寸优化

获取原文
获取原文并翻译 | 示例
       

摘要

One of many optimization techniques is the evolutionary structural optimization (ESO), based on the idea that an optimal structure can be achieved by gradually removing ineffectively used materials from the design domain. Production of a multistage optimization is often proposed to reach the best overall solution. In the first stage, the structure is optimized according to a topology criterion, and, in the second stage, sizing optimization is carried out. The efficiency of such an approach is questionable as a fixed topology, for the second stage optimization may not be the most favorable before sizing optimization is carried out. In this paper, the simultaneous topology and size optimization of trusses using the ESO algorithm are discussed. A number of numerical examples are presented to research capacity to achieve optimal solutions for a structural problem. The topology design of the initial design domain is based on commonly used designs for multistorey trusses constructed from straight members. Therefore, the cases are of a slender shape and made from a combination of presented internal designs. The case studies will present an evaluation to show whether the described optimization approach can be beneficial in structural design for the purpose of steel framework designs.
机译:许多优化技术之一是进化结构优化(ESO),其思想是可以通过逐渐从设计领域中删除无效使用的材料来获得最佳结构。通常建议进行多阶段优化以达到最佳的整体解决方案。在第一阶段,根据拓扑准则优化结构,在第二阶段,进行尺寸优化。这种方法作为固定拓扑的效率令人怀疑,因为在进行大小优化之前,第二阶段优化可能不是最有利的。本文讨论了使用ESO算法同时进行桁架拓扑和尺寸优化的问题。给出了许多数值示例,以研究获得针对结构问题的最佳解决方案的能力。初始设计域的拓扑设计基于常用的由直构件构造的多层桁架设计。因此,箱体是细长的,并且由所呈现的内部设计组合而成。案例研究将提供评估,以显示所描述的优化方法是否对钢框架设计目的的结构设计有益。

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