Khandar Shahabad, Peiman and Alan, Salih and Yildizdag, M. Erden and Bediz, Bekir (2024) A novel spectral element method with a higher-order coarse quad meshing approach to design laminated composite panels with arbitrarily shaped cutouts. Thin-Walled Structures, 197 . ISSN 0263-8231 (Print) 1879-3223 (Online)
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Official URL: https://dx.doi.org/10.1016/j.tws.2024.111636
Abstract
Laminated panels are widely used in various industries due to their distinct advantages. The design of laminated composites requires efficient methodologies due to the vast design space. This study proposes a new spectral element modeling approach for accurate and computationally efficient analysis of laminated composites with arbitrarily shaped cutouts. The method employs a coarse quad meshing approach and a spectral Chebyshev method to determine the element matrices. The presented method enables obtaining high-fidelity models by applying h- and p-refinements following a non-dimensional approach, aiming to yield a model with the fewest degrees of freedom to achieve a desired convergence level. Benefiting from the advantages of both meshless methods (in terms of computational efficiency) and finite element methods (in terms of geometric capabilities), we performed several case studies for laminated panels with cutouts and it is shown that the presented spectral element method (SEM) enables calculating the natural frequencies and the mode shapes as accurate as FEM, yet decreases the analysis duration by 13 folds. Furthermore, the developed approach was employed with a gradient-based optimizer or genetic algorithm to demonstrate the design of (sandwich) laminated composites for obtaining optimal lamination parameters and 2D Pareto fronts.
Item Type: | Article |
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Uncontrolled Keywords: | Chebyshev polynomials; Coarse quad meshing; Cutouts; Laminated panels; NURBS-based meshing; Spectral element method |
Divisions: | Faculty of Engineering and Natural Sciences |
Depositing User: | Bekir Bediz |
Date Deposited: | 08 Jun 2024 21:54 |
Last Modified: | 08 Jun 2024 21:54 |
URI: | https://research.sabanciuniv.edu/id/eprint/49144 |