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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Roque, Cmc
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Publications (6/6 displayed)
- 2018Maximization of fundamental frequency of layered composites using differential evolution optimizationcitations
- 2013A study of a microstructure-dependent composite laminated Timoshenko beam using a modified couple stress theory and a meshless methodcitations
- 2013Static Deformations and Vibration Analysis of Composite and Sandwich Plates Using a Layerwise Theory and a Local Radial Basis Functions-Finite Differences Discretizationcitations
- 2005Free vibration analysis of symmetric laminated composite plates by FSDT and radial basis functionscitations
- 2004Radial basis functions and higher-order shear deformation theories in the analysis of laminated composite beams and platescitations
- 2003Analysis of composite plates using higher-order shear deformation theory and a finite point formulation based on the multiquadric radial basis function methodcitations
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article
Free vibration analysis of symmetric laminated composite plates by FSDT and radial basis functions
Abstract
In this paper, we use the first-order shear deformation theory in the multiquadric radial basis function (MQRBF) procedure for predicting the free vibration behavior of moderately thick symmetrically laminated composite plates. The transverse deflection and two rotations of the laminate are independently approximated with the MQRBF approximation. The natural frequencies of vibration are computed for various laminated plates and compared with some available published results. Through numerical experiments, the capability and efficiency of the MQRBF method for eigenvalue problems are demonstrated, and the numerical accuracy and convergence are thoughtfully examined.