Static and thermal instability analysis of embedded functionally graded carbon nanotube-reinforced composite plates based on HSDT via GDQM and validated modeling by neural network-Reference-Cited by-同舟云学术

Static and thermal instability analysis of embedded functionally graded carbon nanotube-reinforced composite plates based on HSDT via GDQM and validated modeling by neural network

Published:2022-07-10 Issue: Volume: Page:1-34
ISSN:1539-7734
Container-title:Mechanics Based Design of Structures and Machines
language:en
Short-container-title:Mechanics Based Design of Structures and Machines

Author:

Forooghi Ali¹,Fallahi Nasim²,Alibeigloo Akbar¹^ORCID,Forooghi Hosein³,Rezaey Saber¹

Affiliation:

1. Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran

2. Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy

3. Department of Industrial Engineering, Sadjad University of Technology, Mashhad, Iran

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,Ocean Engineering,Condensed Matter Physics,Aerospace Engineering,Automotive Engineering,General Mathematics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15397734.2022.2094407

Reference63 articles.

1. Dynamic Response of FG-CNT Composite Plate Resting on an Elastic Foundation Based on Higher-Order Shear Deformation Theory

2. Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems

3. Flexural and Free Vibration Analysis of CNT-Reinforced Functionally Graded Plate

4. Vibration of carbon nanotube-reinforced plates via refined nth-higher-order theory

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