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- 저자 : Pinyi Wang (검색결과 2 건)
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Xiaohua Wang,Pinyi Wang,Wei Jiang,Fengqin Wu,Masoud Kiani,Mohammad Arefi 국제구조공학회 2021 Structural Engineering and Mechanics, An Int'l Jou Vol.80 No.2
Buckling analysis of porous sandwich nanoplate integrated with two piezoelectric face-sheets is presented based on shear and normal deformation theory (SNTD). Effect of small scales of the porous core and actuated face-sheets is accounted based on the nonlocal strain gradient theory (NSGT). Large parametric results are presented to investigate variation of various critical loads in terms of significant parameters such as porosity volume fraction, strain gradient and nonlocal parameter, and dimensionless geometric parameters. It is concluded that increase of porosity volume fraction leads to decrease of critical electric and magnetic potentials and increase of critical temperatures.
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Zhou, Xiao,Wang, Pinyi,Al-Dhaifallah, Mujahed,Rawa, Muhyaddin,Khadimallah, Mohamed Amine Techno-Press 2022 Advances in nano research Vol.12 No.1
The aim of current work is to evaluate thermo-electrical characteristics of graphene nanoplatelets Reinforced Composite (GNPRC) coupled with magneto-electro-elastic (MEE) face sheet. In this regard, a cylindrical smart nanocomposite made of GNPRC with an external MEE layer is considered. The bonding between the layers are assumed to be perfect. Because of the layer nature of the structure, the material characteristics of the whole structure is regarded as graded. Both mechanical and thermal boundary conditions are applied to this structure. The main objective of this work is to determine critical temperature and critical voltage as a function of thermal condition, support type, GNP weight fraction, and MEE thickness. The governing equation of the multilayer nanocomposites cylindrical shell is derived. The generalized differential quadrature method (GDQM) is employed to numerically solve the differential equations. This method is integrated with Deep Learning Network (DNN) with ADADELTA optimizer to determine the critical conditions of the current sandwich structure. This the first time that effects of several conditions including surrounding temperature, MEE layer thickness, and pattern of the layers of the GNPRC is investigated on two main parameters critical temperature and critical voltage of the nanostructure. Furthermore, Maxwell equation is derived for modeling of the MEE. The outcome reveals that MEE layer, temperature change, GNP weight function, and GNP distribution patterns GNP weight function have significant influence on the critical temperature and voltage of cylindrical shell made from GNP nanocomposites core with MEE face sheet on outer of the shell.
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