Frequency and dynamic stability analysis of the sandwich structure with honeycomb core and GOP reinforcement using deep neural network DOI

Jian Peng,

Jingjing Zhou,

Xiuyu Xie

et al.

Waves in Random and Complex Media, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 32

Published: Jan. 22, 2023

In the presented paper, by using deep neural network (DNN), vibrational response associated with a three-layered circular sector plate, in which core is made of honeycomb structures and face sheets are composites reinforced graphene oxide powders studied. Two-directional generalized differential quadrature method (2D-GDQM), as solution method, employed to discretize solve ordinary equations. By momentum-based optimizer system, optimum value different parameters acquired. First-order shear deformation theory (FSDT) utilized order attain displacement fields based on governing equations extracted. The frequency system attained adaptive learning method. Additionally, results well formulation current study validated other papers. It was shown that DNN-based model studying these systems has less error than models. Lastly, impact various for composite sheets, investigated detail.

Language: Английский

Bending information and dynamic stability of the laminated axisymmetric nanoplate on the linear and torsional elastic substrate based on zigzag theory DOI
Weiyong Wang

Mechanics Based Design of Structures and Machines, Journal Year: 2023, Volume and Issue: 52(5), P. 2451 - 2479

Published: March 7, 2023

In the current work, for first time, bending and vibration information of axisymmetric thick annular nanoplate made laminated composite layers is studied. The structure placed on Winkler-Pasternak substrate with elastic tortional coefficients. Initial stress as an external load also considered in structure. For modeling mechanical deformation layer-wise materials, zigzag theory that its functions themselves are continues interface presented. By coupled quasi-3D new refined (Q3D-NRT) nonlocal strain gradient used obtaining nonclassical governing equations a general boundary condition nanoplate. Also, static dynamic nanostructure, Hamilton's, Minimum total potential energy principles used, respectively. Via differential quadrature method weighting factors nth-order derivative, aid size-dependent conditions solved. comparing results outputs previous reports, accuracy shown.

Language: Английский

Citations

1

Some improvements on the energy absorbed in composite plate resting on the viscoelastic substrate DOI
Huimin Xie, Gongxing Yan

Mechanics Based Design of Structures and Machines, Journal Year: 2022, Volume and Issue: 51(11), P. 6056 - 6075

Published: Feb. 8, 2022

The vibration, as well energy of a reinforced three-phase hybrid composite plate resting on viscoelastic foundation subjected to initial stress, is examined with the aid three-dimensional elasticity theory. two-parameter Winkler–Pasternak formulated. multilayer three, five, and seven layers are modeled compatibility conditions. state-space-based analytical method utilized solution procedure extract results. To attain material properties, rule mixture alongside modified Halpin–Tsai model incorporated. distribution carbon nanotubes supposed be nonuniform. parametric examination impacts sequence layers, stresses, coefficients, nanocomposite related constants vibration frequency stored in system carried out. extracted results indicate that stresses parameters play significant role determining value along system.

Language: Английский

Citations

2

A comprehensive computer simulation for frequency analysis of the annular system with a honeycomb core and angle-ply multiscale hybrid nanocomposite face sheets DOI
Gongxing Yan, Yuxi Liu

Mechanics Based Design of Structures and Machines, Journal Year: 2021, Volume and Issue: 51(7), P. 3823 - 3842

Published: June 28, 2021

The honeycomb structures, due to minimal density, relative high out-of-plane compression properties, and shear have attracted a lot of attention. Regarding this issue, in the current research, fundamental frequency analysis annular plate with two angle-ply multiscale hybrid nanocomposite face sheets core is investigated. Halpin-Tsai as well Hamilton’s principle, are presented for obtaining effective material properties governing equations composite system. For modeling thermal environment, three-kind loading presented. Also, structure covered Kerr elastic foundation. generalized differential quadrature method exact core. Finally, result section given illustrate influences reinforcement, geometry core, loading, foundation, weight fraction nanocomposites, structural parameters on outcomes report show that clamped edge boundary conditions each th/lh, increasing θh/π reason falling down Another consequence impact temperature changes disk hardly dependent fiber angle.

Language: Английский

Citations

2

On energy absorption of the light-weight curved composite panel used in vehicle's roof DOI

Zhaoli Lin,

Ping Yang, Mohammad Amin Oyarhossein

et al.

Mechanics Based Design of Structures and Machines, Journal Year: 2021, Volume and Issue: 51(9), P. 5015 - 5039

Published: Oct. 25, 2021

In this study, the dynamic stability and energy absorption of a novel type sandwich panels with an extensive application in light vehicles are investigated. The curved laminated multi-scale hybrid nanocomposites reinforced carbon nanotubes. whole panel is on non-polynomial viscoelastic substrate to control following vibrations. 3D elasticity model utilized for analyzing behavior absorption. Moreover, employed take effect into account. equivalent bulk properties nanocomposite obtained using micromechanics Halpin–Tsai relations. nano-reinforcements considered have even distribution random orientations epoxy matrix. effects material loading conditions including parameters, compressibility, fiber's volume weight fractions, damping factor, initial axially stress evaluated. most important outcome paper that change σr−o parameters has significant dependency radial stress. application, results suggest decreasing compressibility leads increasing shell structure.

Language: Английский

Citations

1

Frequency and dynamic stability analysis of the sandwich structure with honeycomb core and GOP reinforcement using deep neural network DOI

Jian Peng,

Jingjing Zhou,

Xiuyu Xie

et al.

Waves in Random and Complex Media, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 32

Published: Jan. 22, 2023

In the presented paper, by using deep neural network (DNN), vibrational response associated with a three-layered circular sector plate, in which core is made of honeycomb structures and face sheets are composites reinforced graphene oxide powders studied. Two-directional generalized differential quadrature method (2D-GDQM), as solution method, employed to discretize solve ordinary equations. By momentum-based optimizer system, optimum value different parameters acquired. First-order shear deformation theory (FSDT) utilized order attain displacement fields based on governing equations extracted. The frequency system attained adaptive learning method. Additionally, results well formulation current study validated other papers. It was shown that DNN-based model studying these systems has less error than models. Lastly, impact various for composite sheets, investigated detail.

Language: Английский

Citations

0