Computation of laminated composite plates using integrated radial basis function networks
Article
Article Title | Computation of laminated composite plates using integrated radial basis function networks |
---|---|
ERA Journal ID | 122921 |
Article Category | Article |
Authors | Mai-Duy, Nam (Author), Khennane, Amar (Author) and Tran-Cong, Thanh (Author) |
Journal Title | Computers, Materials and Continua |
Journal Citation | 5 (1), pp. 63-77 |
Number of Pages | 15 |
Year | 2007 |
Place of Publication | Forsyth, GA. United States |
ISSN | 1546-2218 |
1546-2226 | |
Digital Object Identifier (DOI) | https://doi.org/10.3970/cmc.2007.005.063 |
Web Address (URL) | http://www.techscience.com/doi/10.3970/cmc.2007.005.063.html |
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. |
Keywords | laminated composite plate; radial-basis-function network; meshless method |
ANZSRC Field of Research 2020 | 490302. Numerical analysis |
401602. Composite and hybrid materials | |
490404. Combinatorics and discrete mathematics (excl. physical combinatorics) | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Computational Engineering and Science Research Centre |
https://research.usq.edu.au/item/9y807/computation-of-laminated-composite-plates-using-integrated-radial-basis-function-networks
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