Integrated-RBF network method for free vibration analysis of laminated composite plates

Ngo-Cong, Duc and Mai-Duy, Nam and Karunasena, W. and Tran-Cong, Thanh (2010) Integrated-RBF network method for free vibration analysis of laminated composite plates. In: 9th World Congress on Computational Mechanics and 4th Asian-Pacific Congress on Computational Mechanics (WCCM/APCOM 2010), 19-23 July 2010, Sydney, Australia.

Abstract

[Abstract]: This paper presents a new effective radial basis function (RBF) collocation technique for the free vibration analysis of laminated composite plates using the first order shear deformation theory (FSDT). The plates, which can be rectangular and non-rectangular, are simply discretised by means of Cartesian grids. Instead of using conventional differentiated RBFs, integrated RBF networks [1,2,3] are employed on grid lines to approximate the field variables. Several test problems with different geometries, boundary conditions, thickness to length ratios and material properties are considered. The obtained numerical results are in good agreement with existing published results and exact solutions. Numerical results show that the proposed technique is very stable and converges fast with grid refinement.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version not held.
Depositing User: Prof Thanh Tran-Cong
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 23 Aug 2010 02:21
Last Modified: 05 Sep 2014 06:18
Uncontrolled Keywords: integrated radial basis function, vibration analysis, laminated composite plates
Fields of Research (FOR2008): 09 Engineering > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/8564

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