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Application of a Hybrid Mesh-free Method Based on Generalized Finite Difference (GFD) Method for Natural Frequency Analysis of Functionally Graded Nanocomposite Cylinders Reinforced by Carbon Nanotubes

Seyed Mahmoud Hosseini 1
Industrial Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, PO Box:91775-1111, Mashhad, Iran.
Tel: +98 511 8805064 , Fax: +98 511 8763301 E-mail: sm_hosseini@um.ac.ir

Computer Modeling in Engineering & Sciences 2013, 95(1), 1-29. https://doi.org/10.3970/cmes.2013.095.001

Abstract

In this article, the effects of carbon nanotubes distributions on natural frequency are studied for a functionally graded nanocomposite thick hollow cylinder reinforced by single-walled carbon nanotubes using a hybrid mesh-free method. The FG nanocomposite cylinder is excited by a shock loading, which is applied on the inner surface of cylinder. The first natural frequency is obtained for various nonlinear grading patterns of distributions of the aligned carbon nanotubes. The effects of various nonlinear grading patterns on natural frequency are obtained and discussed in details. The presented hybrid mesh-free method is based on the generalized finite difference (GFD) method for spatial coordinates and Newmark finite difference (NFD) for time domain. To obtain the dynamic behavior and also first natural frequency, time histories of displacements are transferred to frequency domain by fast Fourier transformation (FFT) technique. Numerical results demonstrate the efficiency of the proposed method in frequency domain analysis for functionally graded nanocomposites reinforced by carbon nanotube (FGNRCN).

Keywords

Nanocomposites, Carbon nanotube, Functionally graded materials, Natural frequency, Mesh-free method, Shock loading.

Cite This Article

Hosseini, S. M. (2013). Application of a Hybrid Mesh-free Method Based on Generalized Finite Difference (GFD) Method for Natural Frequency Analysis of Functionally Graded Nanocomposite Cylinders Reinforced by Carbon Nanotubes. CMES-Computer Modeling in Engineering & Sciences, 95(1), 1–29.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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