王晓明 (教授)

教授   博士生导师   硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:机械工程学院

学科:机械制造及其自动化

办公地点:机械学院338

联系方式:*******

电子邮箱:xiaoming@dlut.edu.cn

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]A feature-based topological optimization for structure design

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论文类型:期刊论文

发表时间:2008-02-01

发表刊物:ADVANCES IN ENGINEERING SOFTWARE

收录刊物:SCIE、EI

卷号:39

期号:2

页面范围:71-87

ISSN号:0965-9978

关键字:topology optimization; feature-based; topological derivative; R-function; implicit representation; shape matching

摘要:The feature-based modeling technology in computer aided design (CAD) has been widely studied, which greatly facilitates the manufacture of the design. We have incorporated the standard idea into topology optimization, and developed a feature-based structure topology optimization method. The method applies a real valued function to implicitly represent complex material interfaces of a design structure, and employs constructive solid geometry (CSG) to describe the design structure based on a set of simple geometric primitives during the topological optimization process. Meanwhile, the topological derivative analysis is adopted to determine where a simple geometric primitive is inserted in the current structure, and the morphing technology is used to determine which is chosen among the given geometric primitives by combining with the sensitivity analysis. In addition, Boolean operations on the geometric primitives are implemented by R-function method, which guarantees the regularity of the structure representation function, and which meets the need of the structure boundary smoothness for finite element analysis in the fixed Euler meshes. Finally, in order to further simplify the design structure, the shape matching technique is applied to merge the given geometric primitives so that each connected perforation is only constructed by one based geometric primitive. (c) 2007 Elsevier Ltd. All rights reserved.

发表时间:2008-02-01

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