Buckling optimization of laminated composite plates using genetic algorithm and generalized pattern search algorithm

• Published in: Structural and multidisciplinary optimization Vol. 39; no. 5; pp. 477 - 486
• Main Authors: Karakaya, Şükrü, Soykasap, Ömer
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01.11.2009; Springer Nature B.V
• Subjects: Aspect ratio; Buckling; Composite structures; Computational Mathematics and Numerical Analysis; Engineering; Engineering Design; Genetic algorithms; Graphite fiber reinforced plastics; Graphite-epoxy composites; Optimization; Pattern search; Plates (structural members); Production scheduling; Research Paper; Search algorithms; Stacking sequence (composite materials); Theoretical and Applied Mechanics; Genetic algorithm; Composites; Optimization
• ISSN: 1615-147X; 1615-1488
• DOI: 10.1007/s00158-008-0344-2

In this paper, genetic algorithm and generalized pattern search algorithm are used for optimal stacking sequence of a composite panel, which is simply supported on four sides and is subject to biaxial in-plane compressive loads. The problem has several global optimum configurations in the vicinity of local optima. The composite plate under consideration is 64-ply laminate made of graphite/epoxy. The laminate is taken to be symmetric and balanced, comprised of two-ply stacks with discrete fiber angles of 0 2 , ± 45, 90 2 in the laminate sequence. The critical buckling loads are maximized for several combinations of load case and plate aspect ratio, and are compared with published results. Performance of both algorithms is compared in terms of capability of identifying global optima. It is found that genetic algorithm is efficient for problems with global optima.