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    郑勇刚

    • 教授     博士生导师   硕士生导师
    • 主要任职:力学与航空航天学院副院长
    • 其他任职:工程力学系副主任(分管本科生、研究生培养)
    • 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:工程力学. 计算力学. 生物与纳米力学
    • 办公地点:一号综合实验楼626房间
    • 电子邮箱:zhengyg@dlut.edu.cn

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    A New Multiscale Computational Method for Mechanical Analysis of Closed Liquid Cell Materials

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    论文类型:期刊论文

    发表时间:2010-10-01

    发表刊物:CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

    收录刊物:SCIE、EI、Scopus

    卷号:68

    期号:1

    页面范围:55-93

    ISSN号:1526-1492

    关键字:closed liquid cell materials; extended multiscale finite element method; higher order element; periodic boundary condition

    摘要:A new multiscale computational method named as extended multiscale finite element method is proposed for the mechanical analysis of closed liquid cell materials. The numerical base functions for both the displacement field and the pressure of the incompressible fluid within the closed cells are employed to establish the relationship between the macroscopic deformation and the microscopic variables such as deformation, stress, strain and fluid pressure. The results show that the extended multiscale finite element method constructed with the conventional four-node quadrilateral coarse-grid elements sometimes will have strong boundary effects and cannot predict well the fluid pressure in the closed cells. Thus more reasonable higher order coarse-grid elements which can characterize more accurately the structural deformation of the closed cells are introduced. Furthermore, inspired by the periodic boundary conditions used in the homogenization method, the generalized periodic boundary conditions are proposed for the construction of the numerical base functions of the higher order elements. Numerical results indicate that the extended multiscale finite element method with higher order elements can be successfully used for the mechanical analysis of closed liquid cell materials. Particularly, combining with the periodic boundary conditions, the extended multiscale finite element method with higher order elements can give more accurate results.