Volume 36, Issue 2 (3-2018)                   2018, 36(2): 79-98 | Back to browse issues page


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Mohammadimehr M, Alimirzaei S. Nonlinear Buckling Analysis of Nano-composite Beam with Initial Geometrical Imperfection using Finite Element Method. Computational Methods in Engineering 2018; 36 (2) :79-98
URL: http://jcme.iut.ac.ir/article-1-720-en.html
1- Department of Mechanical Engineering, University of Kashan, Kashan, Iran , mmohammadimehr@kashanu.ac.ir
2- Department of Mechanical Engineering, University of Kashan, Kashan, Iran
Abstract:   (4504 Views)
In this research, the nonlinear buckling analysis of Functionally Graded (FG) nano-composite beam reinforced by various distributions of Boron Nitrid Nanotube (BNNT) is investigated under electro-thermodynamical loading with considering initial geometrical imperfection. The analysis is performed based on nonlocal elasticity theory and using the Finite Element Method (FEM). Various distributions of BNNT along the beam’s thickness are considered as uniform and decreasing-increasing functionally graded; and the extended mixture model is used to estimate the properties of nano-composite beam. The elastic medium around the smart nano-composite beam is modeled as elastic foundation. The governing equations of equilibrium are derived using energy method and nonlocal elasticity theory; and the critical buckling load is obtained for various boundary conditions such as simply-simply supported (S-S) and clamped-clamped (C-C) using the FEM. The results indicate that with an increase in the geometrical imperfection parameter, the stiffness of nano-composite beam increases and consequently the stability of the system increases. The effect of FG-X distribution type is more than uniform distributions. Also, the critical buckling load of nano-composite beam increases with an increase in the electric field and elastic foundation.
Full-Text [PDF 503 kb]   (1519 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/02/27 | Accepted: 2018/02/27 | Published: 2018/02/27

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