Optimization of laminate stacking sequence for maximum buckling load of Mindlin plates

The main objective of the study is to use genetic algorithm for the buckling optimization rotationally restrained laminated plates. Mindlin plate theory considering the first-order shear deformation effect, is used to extract characteristic equations of the plate under in-plane load. The buckling problem of laminated plate is analyzed by Rayleigh–Ritz method. Using Genetic Algorithm method, the aim of the optimization is to maximize the buckling load capacity and the design variable is the ply orientation. For validation of the formulas, the numerical results that obtained by MATLAB programing have been compared with the Abaqus software results. The results showed a good correlation between the outputs.

Keywords:

Stacking sequence optimization , Mindlin plate theory , uniaxial and biaxial buckling load , Genetic Algorithm