Free vibration analysis of a laminated composite sandwich plate with compressible core placed at the bottom of a tank filled with fluid

Ramian, Arash; Jafari-Talookolaei, Ramazan-Ali; Valvo, Paolo Sebastiano; Abedi, Maryam

doi:10.1016/j.istruc.2020.11.067

Cited by 6 publications

(1 citation statement)

References 54 publications

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“…To obtain the vibration solution of the MECFRPSS structure with a high accuracy, the classical laminate theory [ 48 ] (applied to the top and bottom panels) and the Reddy’s high-order shear deformation theory [ 49 ] (applied to the MREC) were adopted in this paper. As a result, the displacement field functions of the structure studied can be given as:

where u c , v c , and w c are the displacement components of the panels; u h , v h , and w h are the displacement components of the MREC; u 0 , v 0 , and w 0 are the displacement components of the mid-plane of the structure along with the x , y , and z directions, respectively;

and

are the transverse normal rotation variables in the xoz and yoz planes.…”

Section: Analysis Of Bending and Vibration Resistancesmentioning

confidence: 99%

Optimization Design of the Bending-Vibration Resistance of Magnetorheological Elastomer Carbon Fibre Reinforced Polymer Sandwich Sheets

et al. 2023

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An optimization design of the bending-vibration resistance of magnetorheological elastomer carbon fibre reinforced polymer sandwich sheets (MECFRPSSs) was studied in this paper. Initially, by adopting the classical laminate theory, the Reddy’s high-order shear deformation theory, the Rayleigh-Ritz method, etc., an analytical model of the MECFRPSSs was established to predict both bending and vibration parameters, with the three-point bending forces and a pulse load being considered separately. After the validation of the model was completed, the optimization design work of the MECFRPSSs was conducted based on an optimization model developed, in which the thickness, modulus, and density ratios of magnetorheological elastomer core to carbon fibre reinforced polymer were taken as design variables, and static bending stiffness, the averaged damping, and dynamic stiffness parameters were chosen as objective functions. Subsequently, an artificial bee colony algorithm was adopted to execute single-objective, dual-objective, and multi-objective optimizations to obtain the optimal design parameters of such structures, with the convergence effectiveness being examined in a validation example. It was found that it was hard to improve the bending, damping, and dynamic stiffness behaviours of the structure simultaneously as the values of design variables increased. Some compromised results of design parameters need to be determined, which are based on Pareto-optimal solutions. In further engineering application of the MECFRPSSs, it is suggested to use the corresponding design parameters related to a turning point to better exert their bending-vibration resistance.

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