On analysis of nanocomposite conical structures-Reference-Cited by-同舟云学术

On analysis of nanocomposite conical structures

Published:2023-10 Issue: Volume:191 Page:103918
ISSN:0020-7225
Container-title:International Journal of Engineering Science
language:en
Short-container-title:International Journal of Engineering Science

Author:

Dastjerdi Shahriar^ORCID,Civalek Ömer^ORCID,Malikan Mohammad^ORCID,Akgöz Bekir^ORCID

Publisher

Elsevier BV

Subject

General Engineering,Mechanics of Materials,General Materials Science,Mechanical Engineering

Reference73 articles.

1. Vibration characteristics of rotating truncated conical shells reinforced with agglomerated carbon nanotubes;Afshari;Journal of Vibration and Control,2022

2. Frequency response of rotating two-directional functionally graded GPL-reinforced conical shells on elastic foundation;Amirabadi;Journal of the Brazilian Society of Mechanical Sciences,2021

3. Free vibration analysis of rotating functionally graded GPL-reinforced truncated thick conical shells under different boundary conditions;Amirabadi;Mechanics Based Design of Structures and Machines,2022

4. Using the higher-order shear deformation theory to analyze the free vibration of stiffened rotating FGM conical shells in a thermal environment;Aris;Thin-Walled Structures,2023

5. A unified quasi-three-dimensional solution for vibration analysis of rotating pre-twisted laminated composite shell panels;Chen;Composite Structures,2022

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1. Dynamics of graphene origami-enabled auxetic metamaterial beams via various shear deformation theories;International Journal of Engineering Science;2024-10

2. Free vibration of FG multilayer hybrid nanocomposite microbeam reinforced by GPLs and CNTs under nonlocal dual-phase-lag generalized thermoelastic theory;Archive of Applied Mechanics;2024-06-27

3. On nonlinear buckling of microshells;International Journal of Engineering Science;2024-06

4. Study of nanotube waviness influence on the behaviors of spherical nanocomposites;International Journal of Engineering Science;2024-06

5. Machine Learning Insights into the Influence of Carbon Nanotube Dimensions on Nanocomposite Properties: A Comprehensive Exploration;J COMPUT APPL MECH;2024