Abstract
In this study, the dynamic stability of an embedded viscoelastic composite cylindrical shell reinforced by boron nitride nanotubes (BNNTs) is investigated. The composite cylindrical shell is coated by a viscoelastic piezomagnetic layer and subjected to combined magneto-electro-mechanical loads. The composite polymer matrix and the coating layer are made of polyvinylidene fluoride (PVDF) and iron oxide (CoFe2O4), respectively. The composite cylindrical shell conveys pulsating fluid flows, which results in harmonic oscillations. The equivalent characteristics of composite are determined using micro-electro-mechanical models. Considering the magneto-electro-mechanical coupling, motion equations are obtained using Hamilton’s principle. Results show the influences of fluid velocity, geometrical parameters of shell, viscoelastic foundation, orientation angle and percentage of BNNTs on the resonance frequency and stability of a PVDF-coated nanocomposite shell. The result of this study may be used for the design of rotating machines, hydraulic systems and motors.
1 Introduction
Composites offer advantageous characteristics of different materials with qualities that none of the constituents possess. Smart composite addressed in this paper has attracted more attention amongst researchers due to the provision of new properties and exploiting unique synergism between materials. Piezoelectric materials produce an electric field when deformed, and undergo deformation when subjected to an electric field. The coupling nature of piezoelectric materials has attracted wide applications in electro-mechanical and electrical devices, such as actuators, sensors and transducers [1].
Since this paper studies the dynamic response of a composite cylinder conveying pulsating fluid, the introduction is divided into three parts including magneto-electro-elastic shells, pulsating fluid and composite structures.
Three-dimensional (3D) solutions for the static analysis of doubly curved functionally graded (FG) magneto-electro-elastic shells were presented by Tsai et al. [2]. They used an asymptotic approach to solve 29 basic equations that reduced to 10 differential equations under elastic, electric and magnetic fields. The governing equations were derived by considering the first-order approximation to the 3D magneto-electro-elasticity. Their results could be used as a reference to develop an advanced approximate shell theory and as the benchmark solutions. Wu and Tsai [3] analyzed a 3D free vibration of doubly curved FG magneto-electro-elastic shells. They used closed-circuit surface conditions and a perturbation method. They introduced a method of multiple scales to eliminate the secular terms in various order problems of their formulation. The coupled classical shell theory was derived in this work as a first-order approximation to the 3D magneto-electro-elasticity. Also some benchmark solutions for the free vibration analysis of FG elastic and piezoelectric plates were used to validate the present asymptotic formulation.
Torsional buckling of a piezoelectric polymeric cylindrical shell made from polyvinylidene fluoride (PVDF) subjected to combined electro-thermo-mechanical loads was analyzed by Mosallaie Barzoki et al. [4]. The core was modeled as an elastic medium by Winkler and Pasternak modules and the shell was reinforced by armchair double-walled boron nitride nanotubes. Mechanical, electrical and thermal characteristics of the composite shell were determined based on micromechanical modeling. Their results indicated that buckling strength increases substantially as harder foam cores are employed. Nonlinear dynamics of pipes conveying pulsating fluid was investigated considering the effect of motion constraints modeled as cubic springs by Wang [5]. He derived the partial differential equation with a higher mean flow velocity and using the Galerkin method and fourth-order Runge-Kutta scheme. He found an analytical model to exhibit rich and variegated dynamical behaviors that include quasi-periodic and chaotic motions. Ariaratnam and Namachchivaya [6] assumed that the flow velocity is harmonically perturbed about a constant mean value and analyzed the dynamic stability of supported cylindrical pipes conveying fluid. They used a method of averaging to explicit stability conditions for perturbations and the Floquet theory to extend the stability boundaries. Their results have shown the effects of the mean flow velocity, dissipative forces, boundary conditions and virtual mass on the extent of parametric instability regions.
Also, nonlinear dynamics of pipes conveying pulsatile fluid was investigated by Panda and Kar [7] where the pipe was subjected to combination and principal parametric resonance. In this research, the fluid velocity harmonically varied to a constant mean velocity. They utilized the method of multiple scales to solve first-order ordinary differential governing equations considering the associated boundary conditions. Their results have shown the response in directly excited and indirectly excited modes due to modal interaction. Liang and Su [8] studied the stability of a single-walled carbon nanotube conveying fluid where the internal flow was pulsating and viscous. Based on nonlocal elasticity theory, partial differential equations were obtained using the Galerkin method as well as averaging equations for the first two modes. They discussed the stability regions in the frequency-amplitude plane and the influences of the nonlocal effect, viscosity and some system parameters. Tan and Tong [9] presented the closed-form formulas for the effective constants of composite materials under various loading assumptions using the linear piezoelectric theory and iso-field assumptions. They found that the predicted electro-elastic constants under various loading assumptions are generally bounded by those obtained under single- and multiple-loading assumptions. In fact, they showed that the effective constants along the fiber direction obtained under the single-loading assumption are the same as those evaluated using the rule of mixtures. They also developed in another work [10] two micromechanics models, referred to as “XY PEMFRC model” and “YX PEMFRC model”, to investigate the electro-magneto-thermo-elastic properties for piezoelectric-magnetic fiber reinforced composite (PEMFRC) materials operating in the linear regime. The theoretical and experimental findings in piezoelectric nanostructures were presented by Fang et al. [11], including piezoelectric nanowires, nanoplates, nanobeams, nanofilms, nanoparticles and piezoelectric heterogeneous materials containing piezoelectric nano-inhomogeneities. First, they delineated the types of piezoelectric nanostructured materials and their wide applications. Then, they illustrated the theoretical foundations including the definition of surface stress, electric displacement, surface constitutive relations, surface equilibrium equations and nonlocal piezoelectricity.
This paper aims to study the dynamic stability of a viscoelastic nanocomposite cylindrical shell conveying pulsating fluid flow made of PVDF and reinforced by boron nitride nanotubes (BNNTs) with a viscoelastic piezomagnetic coating layer of iron oxide (CoFe2O4). In order to control the stability of the system, the cylindrical shell is subjected to applied electric and magnetic fields in the longitudinal direction. The nanocomposite cylindrical shell is embedded in a viscoelastic medium which is simulated by a visco-pasternak model. The governing equations are derived using Hamilton’s principle, which are then solved by the differential quadrature method (DQM) for clamped boundary conditions. The influences of fluid velocity, geometrical parameters of the shell, viscoelastic foundation, orientation angle and percentage of BNNTs in polymer on the resonance frequency of the shell are investigated.
2 Structural definition
A schematic diagram of a double-layered shell embedded in a viscoelastic foundation is illustrated in Figure 1, in which geometrical parameters such as length L, average radius R and thickness h1+h2 are also indicated.

A schematic diagram of a double-layered shell modeled embedded in a viscoelastic foundation.
As can be seen from Figure 1, the shell consists of two layers:
Viscoelastic nanocomposite cylindrical shell
Viscoelastic piezomagnetic coating layer.
From the strain-displacement relations, the stress and moment resultants are obtained separately for each layer. Then the total energy which includes the energies of the viscoelastic nanocomposite cylindrical shell and viscoelastic piezomagnetic coating layer is obtained using Hamilton’s principle in three orthogonal directions of the cylindrical coordinate system.
2.1 Nanocomposite cylindrical shell reinforced by BNNTs
2.1.1 Constitutive equations for piezoelectric materials
In this research, the nanocomposite cylindrical shell is made of PVDF reinforced by BNNTs. In piezoelectric materials, the constitutive equation includes stress (σ) and strain (ε) tensors on the mechanical side, as well as flux density (D) and field strength (E) tensors on the electrostatic side, which may be arbitrarily combined as follows [12]:
where Cijkl , emij and εmk are elastic constants, piezoelectric constants and dielectric constants, respectively, and Ek represents the electric field that is defined as a function of the electric potential ϕ, as given below:
2.1.2 Micromechanical models
A micromechanical model known as “XY PEFRC” or “YX PEFRC” is employed for modeling of coupled composite microstructures [9]. A representative volume element (RVE) is considered for predicting the elastic, piezoelectric and dielectric properties of the smart system. In this research, both matrix and reinforcements are assumed to be smart and the BNNTs are considered as longitudinal straight fibers in the composite shell. According to the XYPEFRC micromechanical method, the constitutive equations for the electro-mechanical behavior of the selected RVE are expressed as follows [10]:
The coefficients in the above equation in terms of the matrix and piezoelectric fibers properties and volume fraction of the reinforcement are given in Appendix A.
Assuming the plane stress condition and unidirectional electric field along the shell axis in the cylindrical coordinate system, Equation (3) can be reduced to the following relations:
Super index (1) refers to the composite shell.
To consider the effects of the orientation angle of the BNNTs, the following transformation matrix can be employed:
The transformation matrix [T] is given as [13] follows:
where θ is the angle of BNNTs with respect to the shell axis.
2.1.3 Piezomagnetic coating
As previously mentioned, the outer surface of the nanocomposite shell is coated by a thin layer of piezomagnetic material that is sensitive to the magnetic field. In piezomagnetic materials, the constitutive equation includes stress (σ) and strain (ε) tensors on the mechanical side, as well as magnetic flux (B) and magnetic field strength (H) tensors on the magnetostatic side, which may be arbitrarily combined as follows [2]:
where Cijkl , qmij and μmk are elastic constants, piezomagnetic constants and magnetic permeability, respectively, and Hk represents the magnetic field that is defined as a function of the magnetic potential ψ, as given below:
Since the unidirectional magnetic field is along the cylindrical shell axis, the stress-strain relations for the piezomagnetic coating layer are considered as follows:
Super index (2) refers to the coating layer.
3 Motion equations
3.1 Strain-displacement relationships
In order to calculate the middle-surface strain and curvatures, using Kirchhoff-Love assumptions, the displacement components of an arbitrary point are written as follows [4]:
where U, V and W are the displacements of an arbitrary point of the shell in the axial, circumferential and radial directions, respectively; u, v and w are the displacements of points on the middle surface of the shell; and z is the distance from an arbitrary point to the middle surface.
The strain components εx , εθ and γxθ at an arbitrary point of the shell are related to the middle-surface strains εxm , εθm and γxθm and changes in the curvature and torsion of the middle surface kx , kθ and kxθ as follows:
where z is the distance from the arbitrary point to the middle surface, and assuming Donnell’s hypothesis, the expressions for the middle-surface strains and the changes in the curvature and torsion of the middle surface by using Equation (10) become
3.2 Energy method
The total potential energy (Π) of the embedded shell is the sum of the strain energy (U), kinetic energy (K) and the work done by the applied viscoelastic medium (WE) and fluid flow (WF):
The strain energy U occupying the region V is given by [13]
The kinetic energy of the structure may be expressed as follows:
3.3 External work
3.3.1 Viscoelastic medium
The surrounded viscoelastic medium including both normal and shear modulus, is modeled by considering the damping effect as follows [14]:
where kW , kg and cν are spring, shear and damping modulus, respectively.
3.3.2 Fluid structure interaction
The velocity field vector
where
where ρf , P and μ are the fluid density, static pressure and fluid viscosity, respectively.
In the Navies-Stokes equation
Using Equations (17) and (19), Equation (18) can be expanded in the Z direction as follows:
The work done by the fluid can be calculated as follows:
As noted earlier in this paper, both nanocomposite cylindrical shell and piezomagnetic coating layer are the viscoelastic material. Based on Kelvin’s model on elastic materials with the viscoelastic structural damping coefficient g, the elastic coefficients Cij are replaced with the operators Cij (1+g∂/∂t) [17]. Therefore, the equations are rewritten based on the new elastic coefficients.
3.4 Hamilton’s principle
Using Hamilton’s principle, the variational form of the equations of motion can be expressed as follows:
Applying Hamilton’s principle, the coupled motion equations are obtained as follows:
where the dimensionless parameters are defined as follows:
4 Solution procedures
The DQM is used in this study to solve the equations of motion. In this method, differential equations change into first algebraic equations with first order and weighting coefficients. In other words, the partial derivatives of a function (F) are approximated by a specific variable, at discontinuous points in the domain as a set of weighting series and its amount represented by the function itself at that point and other points throughout the domain. Let F be a function representing u̅, v̅, w̅ and Φ with respect to variables ξ and θ in the following domain of (0<ξ<L, 0<θ<2π) having Nξ ×Nθ grid points along these variables. The nth-order partial derivative of F(ξ, θ) with respect to ξ, the mth-order partial derivative of F(ξ, θ) with respect to θ and the (n+m)th-order partial derivative of F(ξ, θ) with respect to both ξ and θ may be expressed discretely [18] at the point (ξi , θi) as follows:
where
According to the DQM, mechanical clamped and free electrical boundary conditions at both ends of the shell may be written as follows:
Applying weighting coefficients and using Equations (23)–(27), a set of algebraic governing equations are obtained:
where [K], [M] and [C] are the stiffness, mass and damping matrix, respectively. It is assumed that the flow velocity is harmonically fluctuating and has the following form [19]:
where v0 is the average flow velocity, α is the amplitude harmonic and ω is the frequency.
Substituting the pulsatile fluid velocity in Equation (33), the stiffness matrix coefficients and damping coefficient matrix are separated as follows:
Finally, by substituting Equation (34) in Equation (35):
where [K]f, [K]ff and [C]f are stiffness and damping coefficient matrix of pulsating fluid. The bulletin helper method is used to solve Equation (36). In this way, the displacement vector {d} can be considered as follows [20]:
Studies show [20] the first dynamic range is the most important and largest range, so by substituting Equation (37) in Equation (36) and separating sin(ωt) and cos(ωt) coefficients, the following form is obtained to determine the scope of system stability:
Equation (38) is an eigenvalue problem that can be solved by Matlab software.
5 Numerical results and discussion
Despite various research studies on the dynamic response of a cylindrical shell, the smart composite materials with special privileges have received less attention. In this research, the dynamic response of a smart composite cylindrical shell with a piezomagnetic coating layer, conveying pulsation fluid flow, was studied. This is a novel topic that has been studied for the first time and cannot be found in the literature. The material properties of the composite shell and coating layer are presented in Table 1 [2, 21, 22].
Electro-magneto-mechanical properties of materials.
| Property | PVDF | BNNT | Property | CoFe2O4 |
|---|---|---|---|---|
| C11 (GPa) | 238.24 | 2035 | C11 (GPa) | 286.0 |
| C22 | 23.6 | 2035 | C22 | 286.0 |
| C33 | 10.64 | 2035 | C33 | 269.5 |
| C12 | 3.98 | 692 | C12 | 173.0 |
| C13 | 2.19 | 692 | C13 | 170.5 |
| C23 | 1.92 | 692 | C23 | 170.5 |
| C44 | 2.15 | 672 | C44 | 45.3 |
| C55 | 4.4 | 692 | C55 | 45.3 |
| C66 | 6.43 | 692 | C66 | 56.5 |
| e31 (C/m2) | -0.13 | 0 | q31 (N/Am) | 580.3 |
| e32 | -0.145 | 0 | q32 | 580.3 |
| e33 | -0.276 | 0.95 | q33 | 699.7 |
| e24 | -0.009 | 0 | q24 | 550.0 |
| e15 | -0.135 | 0 | q15 | 550.0 |
| ε11 (C2/Nm2) | 110.67e-12 | 110.67e-10 | μ11 (Ns2/C2) | -590.0e-06 |
| ε22 | 106.07e-12 | 110.67e-10 | μ22 | -590.0e-06 |
| ε33 | 106.07e-12 | 110.67e-10 | μ33 | -157.0e-06 |
5.1 Effect of the nanotube volume percent on pulsation frequency
Figure 2 shows the effect of the BNNT volume percent in the PVDF matrix when the fiber angle is equal to 60°. As is observed, with the increase in the volume percent, the pulsation frequency increases. Since the elastic stiffness and density of the BNNT are higher than PVDF, with the increase in the volume percent of nanotubes in polymer composites, the equivalent stiffness coefficients and the density of the system increase and the system becomes stronger. It is worth mentioning that the instability zone reduces with the increase in the BNNT volume percent where this zone is the distance between two graphs.

Effect of the volume percent of BNNTs on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
5.2 Effect of the fiber angle in the matrix on pulsation frequency
Figure 3 shows the effect of the BNNT alignment in the PVDF matrix on the dimensionless pulsation amplitude. As can be seen from the figure, with the increase in the fiber angle from 30° to 60° the pulsation frequency reduces significantly and the instability zone increases. On the other hand, the smart composite cylinder becomes susceptible to instability in the higher fiber angle. In fact, the alignment of the fiber with high angle reduces the integrity of the composite, so here 30° is the best option for the optimum design.

Effect of the BNNT orientation angle on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
5.3 Effect of the composite thickness ratio on pulsation frequency
Figure 4 illustrates the effect of the thickness to radius ratio of a nanotube reinforced composite, called the thickness ratio, on the dimensionless pulsation amplitude. As shown in the figure, the increase in the thickness ratio leads to the increase in the pulsation frequency. As we know, the composite cylinder with a higher aspect ratio is harder and stronger, and this is the scientific reason for the increase in the pulsation frequency.

Effect of β1 on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
5.4 Effect of the coating layer thickness ratio on pulsation frequency
Figure 5 displays the effect of the thickness to radius ratio of a piezomagnetic layer as a coat for the composite cylinder on the dimensionless pulsation amplitude. As can be seen, the increase in the thickness ratio of the coating layer leads to the increase in the pulsation frequency like composite thickness ratio because this change increases the thickness of the cylinder and provides a stronger structure. The comparison between Figures 4 and 5 proves that the effect of the composite thickness ratio is more than the piezomagnetic coating layer.

Effect of β2 on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
5.5 Effect of the aspect ratio on pulsation frequency
Figure 6 shows the effect of the length to the radius ratio of a composite shell called the aspect ratio on the pulsation frequency. As is clear from the figure, the increase in the aspect ratio decreases the pulsation frequency. Instability occurs earlier in high aspect ratio, because the length of the composite shell increases more in comparison with the radius. It is worth to mention that with the increase in the aspect ratio the stability zone increases, while the pulsation frequency reduces.

Effect of η on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
5.6 Effect of the fluid flow velocity on pulsation frequency
All figures in this paper are plotted for a dimensionless fluid flow velocity v̅x =1, but Figure 7 shows the effect of different flow velocities on the pulsation frequency. As can be observed in Figure 7, with the increase in fluid velocity, pulsation frequency decreases. So, the greater fluid velocity leads to a large stability zone and low pulsation frequency.

Effect of the fluid velocity on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
5.7 Effect of viscoelastic material on pulsation frequency
Figure 8 is examined in this section to present the velocity amplitude versus pulsation frequency for different viscoelastic coefficients using a dimensionless damping parameter g̅. As was expected, the increase in this ratio decreases the pulsation frequency. It is visible from this figure that increasing the viscoelastic coefficient increases the system damping and the pulsation frequency is pulled to the left (the system becomes unstable at lower frequencies).

Effect of the viscoelastic material damping coefficient on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
5.8 Effect of elastic medium on pulsation frequency
5.8.1 Winkler spring modulus
The effect of the dimensionless Winkler modulus (k̅w) on the pulsation frequency is shown in Figure 9. As can be seen, with the increase in the Winkler modulus, pulsation frequency increases. The Winkler elastic modulus represents the elastic medium around the cylindrical shell and causes the hardening of the system where the frequency increases. The instability zone reduces with the increase in the Winkler modulus.

Effect of the spring constants of viscoelastic foundation on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
5.8.2 Pasternak shear modulus
The effect of the dimensionless Pasternak modulus (k̅g) on the pulsation frequency is shown in Figure 10. This figure reveals that with the increase in the Pasternak shear modulus pulsation frequency increases. Since in Pasternak foundation both shear and normal modulus are considered, so it is expected that the Pasternak model is more efficient than the Winkler model. This result can be observed in comparison with Figures 9 and 10.

Effect of the shear constants of viscoelastic foundation on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
5.8.3 Damping coefficient
The effect of the dimensionless damping coefficient (c̅v) on the pulsation frequency is shown in Figure 11. It is clear from the figure that by increasing the damping coefficient, the pulsation frequency decreases. c̅v indicates the damping area around the elastic cylindrical shell which reduces the stability of the system.

Effect of the damping constants of viscoelastic foundation on the dimensionless pulsation amplitude versus dimensionless pulsation frequency.
6 Conclusion
In this research, dynamic buckling of a BNNT-reinforced composite conveying pulsating fluid flow was studied. The external surface of the composite cylinder was coated by a piezomagnetic layer and the structure was subjected to the electro-magneto-mechanical loadings. PVDF and CoFe2O4 were selected for the composite matrix and coating layer, respectively. Harmonic oscillations were generated due to pulsating fluid flow. The results obtained by solving the motion equations of the smart coated composite cylindrical shell are listed as follows:
Increasing the volume percent of BNNTs in the polymer matrix for the fiber angle of θ=60° leads to an increase in the pulsation frequency, so the system becomes more stable.
Increasing the BNNT angle in the polymer matrix leads to a decrease in the pulsation frequency and the smart composite cylinder becomes susceptible to instability.
Increasing the thickness ratio of the BNNT-reinforced composite and piezomagnetic coating layer leads to an increase in the pulsation frequency and the stability of the system.
The higher values of the aspect ratio, fluid flow velocity, viscoelastic and damping coefficients are the negative factors since they reduce the stability of the system.
Winkler spring coefficient and Pasternak shear modulus increase the stability of the system.
The result of this study can be useful for the design and manufacturing of rotating machines, hydraulic systems and motors.
Acknowledgments
The authors would like to thank the reviewers for their comments and suggestions to improve the clarity of this paper. This work was supported by University of Kashan (grant number 363443/54). Iranian Nanotechnology Development Committee provided financial support.
Appendix A
The components of the constitutive equation of the PEFRC in terms of matrix and reinforcement properties are presented here according to [9, 10]. The superscripts “m” and “p” indicate the matrix and piezoelectric fiber, respectively.
The components of the elastic stiffness matrix:
The components of the piezoelectric matrix:
Dielectric constants:
where the parameters A, B and C are defined as follows:
Appendix B
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