Abstract

In the current paper, the sensitivity performance of functionally graded magneto-electro-elastic (FG-MEE) nanoplate with attached nanoparticles as a nanosensor is analyzed based on nonlocal Mindlin plate assumption. Power law distribution model is employed to display how the material properties of FG-MEE nanoplate vary across the thickness direction. It is supposed that FG-MEE nanoplate is under initial external electric and magnetic potentials. Boundary condition of each edge of FG-MEE nanoplate is assumed to be simply supported. Furthermore, a Pasternak substrate is applied for modelling the total reaction pressure between nanoplate and foundation. Partial differential equations and corresponding boundary conditions are first achieved using Hamilton’s variational principle and then analytically solved to determine the frequency shift utilizing Navier’s approach. Numerical examples are performed to elucidate the dependency of the sensitivity performance of FG-MEE nanosensor on the volume fraction exponent, nonlocal parameter, total attached mass and location of the nanoparticle, aspect ratio, mode number, initial external electric voltage, initial external magnetic potential, and Pasternak medium coefficients. It is clearly indicated that these factors have highly significant impacts on the variations of frequency shift.

Highlights

  • In the recent years, with the rapid growth in the use of the composite materials in a wide range of engineering structures such as aircraft structures (Baker and Baker 2004) and sensor and actuators (Tressler et al 1999; Akdogan et al 2005; Li et al 2008) because of their excellent mechanical properties, the importance of recognizing the composite material behavior increases day to day

  • In the current paper, the sensitivity performance of functionally graded magneto-electro-elastic (FG-MEE) nanoplate with attached nanoparticles as a nanosensor is analyzed based on nonlocal Mindlin plate assumption

  • Some of the most popular modified theories include nonlocal elasticity theory suggested by Eringen (1972, 1983), modified couple stress theory presented (MCST) by Yang et al (2002) and modified strain gradient theory (MSGT) suggested by Lam et al (2003)

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Summary

Introduction

With the rapid growth in the use of the composite materials in a wide range of engineering structures such as aircraft structures (Baker and Baker 2004) and sensor and actuators (Tressler et al 1999; Akdogan et al 2005; Li et al 2008) because of their excellent mechanical properties, the importance of recognizing the composite material behavior increases day to day. On the basis of nonlocal elasticity theory in conjunction with Gurtin–Murdoch elasticity theory, Hosseini and Jamalpoor (2015) reported the important role of the surface effects, i.e., surface elasticity, residual stresses and surface density on the free vibration of a double-FGM viscoelastic nanoplates-system under thermal load They considered that the material traits of the plate follow power law repartition in the thickness direction. In this work, a first-order shear deformable (Mindlin) plate theory in conjunction with the nonlocal elasticity theory is applied to take into account the size effect on the sensitivity of the sensor In this regard, the key novelties of the presented study are summarized as follows:. Partial differential equations of motion of the system with multiple added masses are derived by employing Hamilton’s principle, by applying the analytical Navier type solution, the frequency shift of the system is presented in the explicit closed-form

Geometrical configuration
Constitutive relations for nonlocal FG-MEE Mindlin nanoplate
Displacement field
Nonlocal elasticity theory
C11ðzÞ
Governing equations and boundary conditions
Virtual kinetic energy
Virtual strain energy
The equilibrium equations in terms of the displacements
Dimensionless expressions of equilibrium equations
À l2 o oX2 þ
Analytical solution for vibration behavior of FG-MEE nanoplates
K71 3K72 K73 K74 K75 K76 K77
Convergence and comparison study
Benchmark results
Concluding remarks
Full Text
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