孙家斌

个人信息Personal Information

副教授

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:化工海洋与生命学院

电子邮箱:jbsun1983@dlut.edu.cn

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Accurate nonlinear buckling analysis of functionally graded porous graphene platelet reinforced composite cylindrical shells

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论文类型:期刊论文

发表时间:2019-02-01

发表刊物:INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

收录刊物:SCIE、EI

卷号:151

页面范围:537-550

ISSN号:0020-7403

关键字:Functionally graded material; Graphene platelet; Cylindrical shell; Buckling; Critical buckling load

摘要:By considering the pre-buckling effect and in-plane constraint, an accurate nonlinear buckling analysis of a functionally graded porous graphene platelet reinforced composite cylindrical shells under axial compressive load is performed. The stability equation is established according to a unified shell theory including the classical thin shell theory and the high-order shear deformation theory. Three types of porosity distributions and graphene platelet reinforced patterns are considered, and the modified Halpin-Tsai model and rule of mixtures are employed to determine their effective material properties. Explicit expressions of buckling equations for clamped or simply supported boundary conditions are obtained by the Galerkin's method. Highly accurate critical buckling loads and analytical buckling mode shapes are obtained simultaneously. A comparison between theoretical prediction and experiment is presented to verify the present method and very good agreement is reported. The influences of material properties on the buckling behaviors are also extensively investigated. It is recommended that the symmetric dispersion pattern is the optimal material distributions for both graphene platelets and porous, and the largest possible weight fraction, specific surface area and average thickness of graphene platelets could induce a better anti-buckling performance for the nanocomposite shell.