COMPOSITE STRUCTURES, cilt.295, 2022 (SCI-Expanded)
This research work presents the fundamental frequency optimization of the functionally graded carbon nanotube reinforced composite (FG-CNTRC) quadrilateral plates using an improved hybrid algorithm of the particle swarm optimization and genetic (PSOG) algorithm. The objective function is to maximize the fundamental frequency of the FG-CNTRC quadrilateral plates and the design variables are a set of the discrete values of the fiber orientations in the layers. The natural frequency of the plates is obtained by using the cell-based smoothed discrete shear gap method. The several comparative numerical examples are investigated to show the efficiency of the proposed hybrid PSOG algorithm. It is demonstrated in the numerical examples that this design method can provide with the accurate optimum solutions for the stacking sequences of the vibrating FG-CNTRC quadrilateral plates.