Maximization of the fundamental frequency of the FG-CNTRC quadrilateral plates using a new hybrid PSOG algorithm

TOPAL U., Goodarzimehr V., Bardhan A., Vo-Duy T., Shojaee S.

COMPOSITE STRUCTURES, vol.295, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 295
  • Publication Date: 2022
  • Doi Number: 10.1016/j.compstruct.2022.115823
  • Journal Name: COMPOSITE STRUCTURES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, INSPEC, Metadex, Civil Engineering Abstracts
  • Keywords: FG-CNTRC quadrilateral plates, Fundamental frequency, Structural optimization, Improved hybrid PSOG algorithm, FREE-VIBRATION ANALYSIS, REINFORCED COMPOSITE PLATES, CARBON-NANOTUBE, NONLINEAR VIBRATION, DYNAMIC-ANALYSIS, SANDWICH PLATES, PARTICLE SWARM, BEAMS, SHELLS, PANELS
  • Karadeniz Technical University Affiliated: Yes

Abstract

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.