...
首页> 外文期刊>Bulletin of the Polish Academy of Sciences. Technical Sciences >Multiobjective shape optimization of selected coupled problems by means of evolutionary algorithms
【24h】

Multiobjective shape optimization of selected coupled problems by means of evolutionary algorithms

机译:进化算法对所选耦合问题的多目标形状优化

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

In present paper an improved multi-objective evolutionary algorithm is used for Pareto optimization of selected coupled problems. Coupling of mechanical, electrical and thermal fields is considered. Boundary-value problems of the thermo-elasticity, piezoelectricity and electro-thermo-elasticity are solved by means of finite element method (FEM). Ansys Multiphysics and MSC.Mentat/Marc software are used to solve considered coupled problems. Suitable interfaces between optimization tool and the FEM software are created. Different types of functionals are formulated on the basis of results obtained from the coupled field analysis. Functionals depending on the area or volume of the structure are also proposed. Parametric curves NURBS are used to model some optimized structures. Numerical examples for exemplary three-objective optimization are presented in the paper.
机译:本文采用改进的多目标进化算法对选定的耦合问题进行帕累托优化。考虑了机械,电场和热场的耦合。通过有限元方法(FEM)解决了热弹性,压电性和电热弹性的边值问题。 Ansys Multiphysics和MSC.Mentat / Marc软件用于解决已考虑的耦合问题。在优化工具和FEM软件之间创建了合适的接口。根据从耦合场分析获得的结果来制定不同类型的功能。还提出了取决于结构的面积或体积的功能。参数曲线NURBS用于对某些优化结构进行建模。本文介绍了示例性三目标优化的数值示例。

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