Accelerating the computational process for analyzing dynamic thermal behavior of an innovatively designed longitudinally-graded sandwich plate: Deep-learning approach-Reference-Cited by-同舟云学术

Accelerating the computational process for analyzing dynamic thermal behavior of an innovatively designed longitudinally-graded sandwich plate: Deep-learning approach

Published:2023-09-27 Issue: Volume: Page:1-24
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Chen Lihua¹,Luo Weihua²³,Almadhor Ahmad⁴,Abbas Mohamed⁵

Affiliation:

1. Chongqing Vocational Institute of Engineering, Chongqing, China

2. Chongqing academy of governance, Chongqing, China

3. Southwest University of Political Science and Law, Chongqing, China

4. Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia

5. Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia

Funder

Deanship of Scientific Research at King Khalid University

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,General Mathematics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2023.2257180

Reference106 articles.

1. Nonlocal couple stress-based meshless collocation model for nonlinear dynamic performance of microbeam-type piezoelectric energy harvesters

2. Nonlinear buckling mode transition analysis in nonlocal couple stress-based stability of FG piezoelectric nanoshells under thermo-electromechanical load

3. Nonlinear three-dimensional stability characteristics of geometrically imperfect nanoshells under axial compression and surface residual stress

4. Nonlinear dynamical performance of microsize piezoelectric bridge-type energy harvesters based upon strain gradient-based meshless collocation approach

5. Surface stress size dependency in nonlinear thermomechanical in-plane stability characteristics of FG laminated curved nanobeams

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