Optimum stacking sequence design of composite laminates for maximum buckling load capacity using parameter-less optimization algorithms

• Published in: Engineering with computers Vol. 35; no. 3; pp. 813 - 832
• Main Authors: Kaveh, A., Dadras, A., Geran Malek, N.
• Format: Journal Article
• Language: English
• Published: London Springer London 01.07.2019; Springer Nature B.V
• Subjects: Adaptive algorithms; Algorithms; Aspect ratio; Buckling; CAE) and Design; Calculus of Variations and Optimal Control; Optimization; Classical Mechanics; Coefficient of variation; Comparative studies; Composite structures; Computer Science; Computer-Aided Engineering (CAD; Confidence; Control; Genetic algorithms; Graphite fiber reinforced plastics; Graphite-epoxy composites; Heuristic methods; Laminates; Layers; Math. Applications in Chemistry; Mathematical and Computational Engineering; Optimization; Original Article; Parameters; Plates (structural members); Stacking sequence (composite materials); Statistical analysis; Systems Theory; Maximum buckling load capacity; Colliding bodies optimization; Composite laminates; Grey wolf optimizer; Optimum stacking sequence design; JAYA algorithm
• ISSN: 0177-0667; 1435-5663
• DOI: 10.1007/s00366-018-0634-2

This paper presents a comparative study of the application of parameter-less meta-heuristic algorithms in optimum stacking sequence design of com of composite laminates for maximum buckling load capacity. Here, JAYA algorithm, along with Salp Swarm Algorithm, Colliding Bodies Optimization, Grey Wolf Optimizer, and Genetic Algorithm with standard setting and self-adaptive version are implemented to the problem of composite laminates with 64 graphite/epoxy plies with conventional ply angles, under several bi-axial cases and panel aspect ratios. Optimization objective is to maximize the buckling load of symmetric and balanced laminated plate. Statistical analysis are performed for six cases and the results are compared in terms of mean, standard deviation, the coefficient of variation, best and worst solutions, accompanied by the percentage of the independent runs that found the global optimum R op and near global optimum R no . The Kruskal–Wallis nonparametric test is also utilized to make further confidence in the examinations. Numerical results show the high capability of the JAYA algorithm for maximizing the buckling capacity of composite plates.