Optimization of Aeroelastic Composite Structures using Evolutionary Algorithms

Abdul Manan (1) , Gareth Vio (1) , Yazdi Harmin (1) , Jonathan Cooper (2)

1 University of Liverpool
2 Engineering

The flutter / divergence speed of a simple rectangular composite wing is maximised through the use of different ply orientations. Four different biologically inspired optimization algorithms (binary genetic algorithm, continuous genetic algorithm, particle swarm optimization and ant colony optimization) and a simple meta-modelling approach are employed statistically on the same problem set. It was found in terms of the best flutter speed, that similar results were obtained using all of the methods, although the continuous methods gave better answers than the discrete methods. When the results were considered in terms of the statistical variation between different solutions, Ant Colony Optimization gave estimates with much less scatter.

Keywords: Physical Sciences

Abdul Manan, Gareth Vio, Yazdi Harmin, Jonathan Cooper. Optimization of Aeroelastic Composite Structures using Evolutionary Algorithms. Engineering Optimization, 2010, 42 (02), pp.171-184. ⟨10.1080/03052150903104358⟩. ⟨hal-00556861⟩