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Engineering with Computers
Erschienen in: Engineering with Computers 2/2021

03.12.2019 | Original Article

Nonlinear dynamic analysis of piezoelectric-bonded FG-CNTR composite structures using an improved FSDT theory

verfasst von: H. Mallek, H. Jrad, M. Wali, F. Dammak

Erschienen in: Engineering with Computers | Ausgabe 2/2021

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Abstract

In the present work, a geometrically nonlinear finite shell element is first presented to predict nonlinear dynamic behavior of piezolaminated functionally graded carbon nanotube-reinforced composite (FG-CNTRC) shell, to enrich the existing research results on FG-CNTRC structures. The governing equations are developed via an improved first-order shear deformation theory (FSDT), in which a parabolic distribution of the transverse shear strains across the shell thickness is assumed and a zero condition of the transverse shear stresses on the top and bottom surfaces is imposed. Using a micro-mechanical model on the foundation of the developed rule of mixture, the effective material properties of the FG-CNTRC structures, which are strengthened by single-walled carbon nanotubes (SWCNTs), are scrutinized. The effectiveness of the present method is demonstrated by validating the obtained results against those of other studies from literature considering shell structures. Furthermore, some novel numerical results, including the nonlinear transient deflection of smart FG-CNTRC spherical and cylindrical shells, will be presented and can be considered for future structure design.
Vorheriger Artikel Chebyshev polynomials for the numerical solution of fractal–fractional model of nonlinear Ginzburg–Landau equation
Nächster Artikel On the application of Harris hawks optimization (HHO) algorithm to the design of microchannel heat sinks

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Metadaten
Titel
Nonlinear dynamic analysis of piezoelectric-bonded FG-CNTR composite structures using an improved FSDT theory
verfasst von
H. Mallek
H. Jrad
M. Wali
F. Dammak
Publikationsdatum
03.12.2019
Verlag
Springer London
Erschienen in
Engineering with Computers / Ausgabe 2/2021
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-019-00891-1

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