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Research Article | Open Access

Investigating parametric homogenization models for natural frequency of FGM nano beams

Abdelhak Berkia1Billel Rebai2( )Bilal Litouche3Soufiane Abbas4Khelifa Mansouri1,5
Faculty of Sciences & Technology, Mechanical Eng Department, University Abbes Laghrour Khenchela, Algeria
Faculty of Sciences & Technology, Civil Eng Department, University Abbes Laghrour Khenchela, Algeria
Mechanic and Electro-Mechanic Department, University Center Abdelhafid Boussouf, Mila, Algeria
LMRS Laboratory, Faculty of Technology, University of Sidi Bel Abbes, Algeria
Laboratory of Eng and Sciences of Advanced Materials (ISMA), Khenchela, Algeria
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Abstract

This research focuses on exploring the free vibration behavior of functionally graded (FG) nano-beams. To calculate the effective properties of the FG nano-beam, which varies solely in the thickness direction, the four homogenization schemes Mori-Tanaka, Tamura, Reuss and Voigt are employed. This study employs high-order shear deformation nano-beam theory and derives the governing equations of motion using nonlocal differential constitutive relations of Eringen. Hamilton's principle is utilized in conjunction with the refined three variables beam theory. The consideration of a length scale parameter accounts for small-scale effects. Analytical solutions are obtained for a simply supported FG nano-beam and compared with existing literature solutions. The research also investigates the influence of different homogenization schemes, the nonlocal parameter, beam aspect ratio and various material compositions on the dynamic response of the FG nano-beam.

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AIMS Materials Science
Pages 891-908

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Cite this article:
Berkia A, Rebai B, Litouche B, et al. Investigating parametric homogenization models for natural frequency of FGM nano beams. AIMS Materials Science, 2023, 10(5): 891-908. https://doi.org/10.3934/matersci.2023048

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Received: 24 July 2023
Revised: 11 September 2023
Accepted: 19 September 2023
Published: 15 October 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)