• 更多栏目

    吕军

    • 教授     博士生导师   硕士生导师
    • 任职 : 党委委员,航空航天系主任,院长助理
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:力学与航空航天学院
    • 学科:飞行器设计. 计算力学
    • 办公地点:大连理工大学综合实验楼1号楼410A
    • 联系方式:办公室:0411-84706915 手机号:13591733151
    • 电子邮箱:lvjun@dlut.edu.cn

    访问量:

    开通时间:..

    最后更新时间:..

    Shape and topology optimization for closed liquid cell materials using extended multiscale finite element method

    点击次数:

    论文类型:期刊论文

    发表时间:2014-03-01

    发表刊物:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

    收录刊物:SCIE、EI、Scopus

    卷号:49

    期号:3

    页面范围:367-385

    ISSN号:1615-147X

    关键字:Extended multiscale finite element method; Closed liquid cell structures; Shape optimization; Topology optimization; Compliant mechanism

    摘要:A new multiscale shape and topology optimization method is presented to design closed liquid cell materials based on the extended multiscale finite element method, which directly captures the small scale features to the large scale computation. The multiscale optimization method firstly focuses on seeking the optimum geometrical parameters and volume expansion of the fluid in the closed liquid cells in the microscale level in terms of maximizing the macroscale mechanical response of the structure. Furthermore, a new hierarchical multiscale optimization method is developed to optimize the macroscale distributions of closed liquid cells and the microscale shape of the fluid inclusion in the cells. In the macroscale level of the multiscale optimization method, the macroscale design domain is discretized by the multiscale coarse elements, while the shape of the fluid inclusions is set to be the design parameters in the microscale level. This method is firstly utilized to minimize the system compliance of the closed liquid cell structure. Moreover, due to the fact that non-uniform volume expansions of the fluid in cells can induce the elastic action, the multiscale optimization method is further extended to design biomimetic compliant actuators of the closed liquid cell materials. The multiscale optimization methods developed are implemented in the FE-package SiPESC, and the numerical examples are carried out to validate the accuracy of the methods proposed.