Vibration Optimization of Fiber Metal Laminated Composite Shallow Shell-type Panels Using Adaptive PSO Algorithm

In this paper, fundamental frequency optimization of symmetrically fiber metal laminated composite shallow shell type panels is investigated by the particle swarm optimization (PSO). The number of layers, the fiber orientation angles, edge conditions, length/width (a/b) and length/R (a/R) ratios are considered as design variables. The classical shallow shell theory (Donnell’s formulation) is applied to calculate the natural frequencies of fiber metal laminated cylindrical curved panels. To improve the speed of the optimization process, the adaptive strategy is used in the PSO algorithm and the fitness function is computed with a semi-analytical finite strip method (FSM). A program based on Maple is used for this purpose. To check the validity, the obtained results are also compared with some other stacking sequences.

کلیدواژه ها:

Fiber Metal Laminate ، Shallow Shell ، Optimization ، PSO Algorithm