This research uses genetic algorithms to study the optimal designof FML subject to various loading conditions. To analyze the FML, thefinite element method based on shear deformation theory is used.Tasi-Hill failure criterion and Miser yield criterion are used as thefitness functions of the fiber prepreg and the metal laminate, andthe ply orientation angles are design variables. In the geneticalgorithm, tournament selection and the uniform crossover method areused. The elitist model is also used for an effective evolutionstrategy and the creeping random search method is adopted in order toapproach the solution with high accuracy. Optimization results aregiven for various loading conditions and compared with CFRP(CarbonFiber Reinforced Plastic). The results show that the FML is moreexcellent than the CFRP in most of the loading conditions. Especiallythe FML shows good mechanical performances in point loadingconditions and it is more stable to unexpected loading.
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