Computation of laminated composite plates using integrated radial basis function networks

Mai-Duy, Nam and Khennane, Amar and Tran-Cong, Thanh (2007) Computation of laminated composite plates using integrated radial basis function networks. CMC: Computers, Materials and Continua, 5 (1). pp. 63-77. ISSN 1546-2218

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Abstract

This paper reports a meshless method, which is based on radial-basis-function networks (RBFNs), for the static analysis of moderately-thick laminated composite plates using the first-order shear deformation theory. Integrated RBFNs are employed to represent the field variables, and the governing equations are discretized by means of point collocation. The use of integration rather than conventional differentiation to construct the RBF approximations significantly stabilizes the solution and enhances the quality of approximation. The proposed method is verified through the solution of rectangular and non-rectangular composite plates. Numerical results obtained show that the method achieves a very high degree of accuracy and a fast convergence rate.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Awaiting copyright advice.
Depositing User: Prof Thanh Tran-Cong
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 07 Feb 2008 23:47
Last Modified: 02 Jul 2013 22:54
Uncontrolled Keywords: laminated composite plate; radial-basis-function network; meshless method
Fields of Research (FOR2008): 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010301 Numerical Analysis
09 Engineering > 0912 Materials Engineering > 091202 Composite and Hybrid Materials
01 Mathematical Sciences > 0101 Pure Mathematics > 010104 Combinatorics and Discrete Mathematics (excl. Physical Combinatorics)
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi: 10.3970/cmc.2007.005.063
URI: http://eprints.usq.edu.au/id/eprint/3574

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