Wave propagation in functionally graded piezoelectric sandwich nanoplates based on nonlocal strain gradient theory incorporating surface effects

Abstract In this study, wave propagation characteristics in functionally graded (FG) piezoelectric sandwich nanoplates under electro-thermal loading are investigated. The sandwich nanoplates comprise piezoelectric layers, with a FG layer in the middle. The nanoplates are deposited on a viscoelastic foundation, and the effective material parameters of the FG interlayers are determined using the Mori-Tanaka homogenization model. To specifically examine the influence of surface effect (SE) and scale effect, governing equations are derived from the unified shear deformation theory and Hamilton’s principle, incorporating the theoretical frameworks of surface piezoelectricity theory and nonlocal strain gradient theory. Thereafter, the characteristic equations are analytically solved to obtain numerical effects of wave dispersion relations. The effects of various parameters, such as surface parameters, scale parameters, viscoelastic parameters, and external loads on the wave propagation characteristics are investigated in detail. The piezoelectric SE is related to the scale parameters. Surface density decreased the frequency, and the degree of influence of both surface piezoelectric parameters and residual stress on the frequency decreased rapidly with the increase in the thickness of the piezoelectric layer.

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Publication Details

Journal
Smart Materials and Structures
Published
2024-11-21
DOI
https://doi.org/10.1088/1361-665x/ad95cc
Citations
6
Primary Topic
Nonlocal and gradient elasticity in micro/nano structures
Type
article
Field-Weighted Citation Impact
0.70

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article

Wave propagation in functionally graded piezoelectric sandwich nanoplates based on nonlocal strain gradient theory incorporating surface effects

Jing Wang, Biao Hu, Xinte Wang, Bo Zhang et al.
6 citations
Smart Materials and Structures
Nonlocal and gradient elasticity in micro/nano structures
0.70
article

Wave propagation in functionally graded piezoelectric sandwich nanoplates based on nonlocal strain gradient theory incorporating surface effects

Jing Wang, Biao Hu, Xinte Wang, Bo Zhang, Juan Liu, Jie Wang
article en
6 citations

Abstract

Abstract In this study, wave propagation characteristics in functionally graded (FG) piezoelectric sandwich nanoplates under electro-thermal loading are investigated. The sandwich nanoplates comprise piezoelectric layers, with a FG layer in the middle. The nanoplates are deposited on a viscoelastic foundation, and the effective material parameters of the FG interlayers are determined using the Mori-Tanaka homogenization model. To specifically examine the influence of surface effect (SE) and scale effect, governing equations are derived from the unified shear deformation theory and Hamilton’s principle, incorporating the theoretical frameworks of surface piezoelectricity theory and nonlocal strain gradient theory. Thereafter, the characteristic equations are analytically solved to obtain numerical effects of wave dispersion relations. The effects of various parameters, such as surface parameters, scale parameters, viscoelastic parameters, and external loads on the wave propagation characteristics are investigated in detail. The piezoelectric SE is related to the scale parameters. Surface density decreased the frequency, and the degree of influence of both surface piezoelectric parameters and residual stress on the frequency decreased rapidly with the increase in the thickness of the piezoelectric layer.

Smart Materials and StructuresVol. 34(1)
Southwest Petroleum University (CN), Guizhou University (CN), Southwest Jiaotong University (CN)
Natural Science Foundation of Guizhou Province
Openalex Percentile: Top 29%
Nonlocal and gradient elasticity in micro/nano structures
0.70
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Wave propagation in functionally graded piezoelectric sandwich nanoplates based on nonlocal strain gradient theory incorporating surface effects — Jing Wang, Biao Hu, et al. · Smart Materials and Structures (2024) | TGRS Research Map | TGRS