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Abstract
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In the current paper, the stacking sequence optimization of variable stiffness fiber metal laminated (FML) plates is performed using a combination of a modified adaptive particle swarm optimization (PSO) algorithm and a semi-analytical finite strip method (FSM). The present study aims to calculate the best fiber paths with maximized fundamental frequency for variable stiffness FML plates. Optimal stacking sequences are determined for two different stacking sequences, fifteen boundary conditions and four plate length/width ratios. Employing the weight adaptive strategy within the algorithm, and the finite strip method in numerical calculation, significantly reduces the analysis time in this research. The performance of the modified adaptive PSO algorithm is compared with that of a simple PSO algorithm, demonstrating the improved efficiency of the modified algorithm. Furthermore, the fundamental frequencies of the obtained optimal layup are compared with the fundamental frequencies of three other variable stiffness FML layups to demonstrate the effectiveness of the present method. Also, the effectiveness of the present method is demonstrated by comparing the obtained optimal results for three variable stiffness cases with those available in the literature.
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