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1. 发明申请

US20080183436A1 Method of evolutionary optimization algorithm for structure design 审中-公开
标题翻译：结构设计进化优化算法
公开(公告)号：US20080183436A1
公开(公告)日：2008-07-31
申请号：US12000069
申请日：2007-12-07
申请人： Yu-Ming Chen , Chun-I Chu , Ya-Ping Lee , Tze-Chin Chou
发明人： Yu-Ming Chen , Chun-I Chu , Ya-Ping Lee , Tze-Chin Chou
IPC分类号： G06F17/50
CPC分类号： G06F17/5018 , G06F17/5086 , G06F2217/08
摘要： The present invention discloses a method of evolutionary optimization algorithm for structure design which comprises steps of: meshing a geometric structure with applied geometric boundary conditions; analyzing the meshed geometric structure by finite element analysis to determine the relative stress distribution of the structure; and evolving the geometric structure by migrating geometric boundary nodes. During evolution, meshing and finite element analysis are repeated to perform structural optimization evolutionally till the evolving design converged to an optimum. The present invention overcomes the mesh-dependency problem in most of structural optimization algorithms in the field of structure topology optimization. In addition, the optimized design of the present invention possesses smooth geometric boundaries. Moreover, structure topology resolutions can be controlled and capable of producing designs that are very close to exact theoretical analysis.
摘要翻译：本发明公开了一种用于结构设计的进化优化算法的方法，包括以下步骤：将几何结构与应用的几何边界条件进行啮合; 通过有限元分析分析网格几何结构，确定结构的相对应力分布; 并通过迁移几何边界节点来演化几何结构。在进化过程中，重复进行网格划分和有限元分析以进行结构优化，直到不断变化的设计收敛到最佳状态。本发明克服了结构拓扑优化领域的大多数结构优化算法中的网格依赖问题。此外，本发明的优化设计具有平滑的几何边界。此外，可以控制结构拓扑分辨率，并能够产生非常接近精确理论分析的设计。

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