4.7 Article

Topology optimization of continuum structures with local and global stress constraints

期刊

出版社

SPRINGER
DOI: 10.1007/s00158-008-0336-2

关键词

Topology optimization; Finite element method; Minimum weight; Stress constraints; Local constraints; Constraints aggregation

资金

  1. Ministerio de Ciencia y Tecnologia of the Spanish Government [DPI-2006-15275, DPI-2007-61214]
  2. Direccion Xeral de I+D of the Conselleria de Innovacion, Industria e Comercio of the Xunta de Galicia [PGIDIT03-PXIC118001PN, PGIDIT03-PXIC118002PN]
  3. Universidade da Coruna
  4. Fundacion de la Ingenieria Civil de Galicia

向作者/读者索取更多资源

Topology structural optimization problems have been usually stated in terms of a maximum stiffness (minimum compliance) approach. The objective of this type of approach is to distribute a given amount of material in a certain domain, so that the stiffness of the resulting structure is maximized (that is, the compliance, or energy of deformation, is minimized) for a given load case. Thus, the material mass is restricted to a predefined percentage of the maximum possible mass, while no stress or displacement constraints are taken into account. This paper presents a different strategy to deal with topology optimization: a minimum weight with stress constraints Finite Element formulation for the topology optimization of continuum structures. We propose two different approaches in order to take into account stress constraints in the optimization formulation. The local approach of the stress constraints imposes stress constraints at predefined points of the domain (i.e. at the central point of each element). On the contrary, the global approach only imposes one global constraint that gathers the effect of all the local constraints by means of a certain so-called aggregation function. Finally, some application examples are solved with both formulations in order to compare the obtained solutions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据