Abstract
This chapter presents a genetic algorithm (GA) to pursue the optimization of hybrid laminated composite plates. Fiber orientation (predefined ply angles), material (glass-epoxy or carbon-epoxy layer) and total number of plies are considered as design variables. The constraints of the optimization problem are taken into account by a multiplicative dynamic penalty approach. The GA is chosen as an optimization tool because of its ability to deal with non-convex, multimodal and discrete optimization problems, of which the design of laminated composites is an example. First, the developed algorithm is detailed explained and, in the first example, validated by comparing its results to other obtained from the literature for non-hybrid laminates. Then, two examples of material cost minimization of hybrid laminates are solved, under the constraints of a maximum weight and buckling or ply failure. In the example where the ply failure is used as a constraint, three different criteria are tested independently: maximum stress, Tsai-Wu and the Puck failure criterion and the results yielded by them are compared and discussed. It was found that each failure criterion yielded a different optimal design.
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Luersen, M.A., Lopez, R.H. (2013). A Genetic Algorithm for Optimization of Hybrid Laminated Composite Plates. In: Muñoz-Rojas, P. (eds) Optimization of Structures and Components. Advanced Structured Materials, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-319-00717-5_4
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