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Optimum stacking sequence design of composite laminates for maximum buckling load capacity using parameter-less optimization algorithms
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DOI：10.1007/s00366-018-0634-2.png)
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Abstract
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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. 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.
Keywords:
Optimum stacking sequence design
Composite laminates
Maximum buckling load capacity
JAYA algorithm
Colliding bodies optimization
Grey wolf optimizer
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