Abstract
Fibre reinforced composite materials are widely used in construction of components of aircraft, ships and marine structures that are subjected to high compression loads. One of the important problems in fibre reinforced composite markets is to find the optimal stacking sequence which tailors the properties of the composite structures. The motivation of the study is to apply the newly developed bio-inspired technique particle swarm optimisation (PSO) and compare its effectiveness with other optimisation techniques genetic algorithm (GA) and pattern search method in the design of composite structures. As a case study, a square and rectangular thick plate subjected to uniaxial or biaxial loading is considered and it is optimised to find the layer orientation which maximises the buckling load. This work showed that GA performs better than PSO and pattern search method and so is the preferable method in design of composite plate structures.
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