Volume preserving nonlinear density filter based on heaviside functions
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论文类型:期刊论文
发表时间:2010-04-01
发表刊物:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
收录刊物:Scopus、EI、SCIE
卷号:41
期号:4
页面范围:495-505
ISSN号:1615-147X
关键字:Topology optimization; Filtering; Volume preserving; Heaviside function
摘要:To prevent numerical instabilities and ensure manufacturability, restrictions should be applied in topology optimization. In this paper, a volume preserving density filter based on Heaviside functions is presented. Different from earlier Heaviside density filters, this filter is volume preserving, which ensures efficiency and stability in optimization. The new filter is compared with four other filters through a compliance minimization problem.
