牛斌

个人信息Personal Information

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. 机械设计及理论. 工程力学

办公地点:大连理工大学机械工程学院,知方楼5120

联系方式:QQ:85893233

电子邮箱:niubin@dlut.edu.cn

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Multiscale eigenfrequency optimization of multimaterial lattice structures based on the asymptotic homogenization method

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论文类型:期刊论文

发表时间:2020-03-01

发表刊物:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

收录刊物:EI、SCIE

卷号:61

期号:3

页面范围:983-998

ISSN号:1615-147X

关键字:Multiscale topology optimization; Multimaterial optimization; Lattice structure; Fundamental frequency; Asymptotic homogenization

摘要:Ultralight lattice structures exhibit excellent mechanical performance and have been used widely. In structural design, the fundamental frequency is highly important. Therefore, a multiscale topology optimization method was utilized to optimize the fundamental frequency of multimaterial lattice structures in this study. Two types of optimization problems were studied, namely, maximizing the natural fundamental frequency with mass constraints and minimizing compliance with frequency constraints. The Heaviside-penalty-based discrete material optimization method was adopted for the optimal selection of candidate materials. The asymptotic homogenization method was used to evaluate the equivalent macroscale properties according to the microstructure of the lattice material. To enable gradient optimization, sensitivities were outlined in detail. A density filter with a volume-preserving Heaviside projection was used to eliminate the risk of a checkerboard pattern and reduce the number of gray elements. A polynomial penalization scheme was employed to eliminate localized spurious eigenmodes in the low-density region. Finally, several numerical examples were performed to validate the proposed method. These numerical examples resulted in novel microstructural configurations with remarkably improved vibration resistance.