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A computational framework for propagated waves in a sandwich doubly curved nanocomposite panel
A computational framework for propagated waves in a sandwich doubly curved nanocomposite panel
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A computational framework for propagated waves in a sandwich doubly curved nanocomposite panel
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A computational framework for propagated waves in a sandwich doubly curved nanocomposite panel
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A computational framework for propagated waves in a sandwich doubly curved nanocomposite panel
A computational framework for propagated waves in a sandwich doubly curved nanocomposite panel
Journal Article

A computational framework for propagated waves in a sandwich doubly curved nanocomposite panel

2022
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Overview
In the current report, characteristics of the propagated wave in a sandwich structure with a soft core and multi-hybrid nanocomposite (MHC) face sheets are investigated. The higher-order shear deformable theory (HSDT) is applied to formulate the stresses and strains. Rule of the mixture and modified Halpin–Tsai model are engaged to provide the effective material constant of the multi-hybrid nanocomposite face sheets of the sandwich panel. By employing Hamilton’s principle, the governing equations of the structure are derived. Via the compatibility rule, the bonding between the composite layers and a soft core is modeled. Afterward, a parametric study is carried out to investigate the effects of the CNTs' weight fraction, core to total thickness ratio, various FG face sheet patterns, small radius to total thickness ratio, and carbon fiber angel on the phase velocity of the FML panel. The results show that the sensitivity of the phase velocity of the FML panel to the WCNT and different FG face sheet patterns can decrease when we consider the core of the panel more much thicker. It is also observed that the effects of fiber angel and core to total thickness ratio on the phase velocity of the FML panel are hardly dependent on the wavenumber. The presented study outputs can be used in ultrasonic inspection techniques and structural health monitoring.