Buckling optimization of composite laminates using a hybrid algorithm under Puck failure criterion constraint

Abstract

In this study, an optimization procedure is proposed to find the optimum stacking sequence designs of laminated composite plates in different fiber angle domains for maximum buckling resistance. A hybrid algorithm combining genetic algorithm and trust region reflective algorithm is used in the optimization to obtain higher performance and improve the quality of solutions. As a novelty, Puck fiber and inter-fiber failure criteria are directly implemented to the optimization problems as nonlinear function constraints, which have allowed more consistent and feasible results. The performance of the hybrid algorithm is demonstrated by comparing with the individual performances of genetic and trust region reflective algorithms via test problems from the literature. Also, a study is performed to exhibit the effectiveness of the selected failure criterion as constraint among the other common criteria. The proposed procedure is used to solve many problems including various design considerations. The results indicate that reliable stacking sequence designs can be achieved in specific configurations even for the composite plates subjected to superior buckling loads when Puck physically based (3D) failure theory is considered as a first ply failure constraint in the buckling optimization.

Physical experimental static testing and structural design optimisation for a composite wind turbine blade

“…The values of the all of the material parameters necessary for assessing glass-fibre epoxy laminates are contained in Table 6. The Puck failure criterion has been shown to be effective when paired with an optimisation procedure [35]. When used to identify first ply failure (FPF) in a buckling study of composite plates it produced optimum designs satisfying both FPF strength and buckling requirements over other material failure criteria.…”

Optimizing the buckling strength of filament winding composite cylinders under hydrostatic pressure

“…Deveci et al. 30 proposed an optimization procedure by combining genetic algorithm and trust region reflect algorithm to find the optimum stacking sequence design of laminated composite structures in different fiber angle domains for maximum buckling resistance. Wang et al.…”

“…Hu and Chen 29 carried out buckling analyses of laminated truncated conical shells subjected to external hydrostatic compression by employing the Abaqus finite element program, in which the golden section method was used to maximize the critical buckling loads of truncated conical shells. Deveci et al 30 proposed an optimization procedure by combining genetic algorithm and trust region reflect algorithm to find the optimum stacking sequence design of laminated composite structures in different fiber angle domains for maximum buckling resistance. Wang et al 31 investigated the curved stiffener distribution for grid-stiffened composite structures.…”

“…[27][28][29]31,33 But as the design variables updated, the finite element model was established iteratively, which resulted in inefficient computing in buckling optimization design of composite structures. Other researches 25,26,30,32 presented analytical algorithm for the optimal design of composite structures, but only fiber orientation was taken into account where the corresponding number of layers was neglected.…”

Mass and buckling criterion optimization of stiffened carbon/epoxy composite cylinder under external hydrostatic pressure

“…Hwang et al 2014 find possible combinations by using GA with new operator called the elite comparison, which compares and uses the differences in the design variables of the two best solutions. Deveci et al 2016 optimize buckling of composite laminates using a hybrid algorithm under Puck failure criterion constraint. They proposed an optimization method to find the optimum stacking sequence designs of laminated composite plates in different fiber angle domains for maximum buckling resistance.…”