DESIGN AND OPTIMIZATION OF STACKING SEQUENCE FOR BUCKLING OF COMPOSITE CYLINDRICAL SHELLS UNDER UNIAXIAL COMPRESSION
Abstract
This work aims at comparing the predictions obtained from various mathematical tools including genetic algorithm (GA), real valued particle swarm optimization (PSOC) and discrete particle swarm optimization (PSOD) for buckling of composite cylindrical shells subjected to uniaxial compressive load. Fiber orientation (stacking sequence) was considered as a design variable, while the number of plies is considered constant. The accuracy of the predictions was compared and ranked based on statistical significance of the findings. Results suggest that both GA and PSOD is able to produce high quality solutions to the design problem, while the designs produced by PSOD is found to be statistically better than those found by GA.
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References
- B. Geier, M. Piening, R. Zimmermann on The Influence of Laminate Stacking on Buckling of Composite Cylindrical Shells Subjected Uniaxial Compression. Composite Structures. 55, 467-474, 2002
- A. T. Seyhan, G. Tayfur, M. Karakurt, M. Tanoglu. Artificial Neural Network (ANN) Prediction of Compressive Strength of VARTM Processed Polymer Composites. Computational Materials Science. 34 99-105, 2005
- Z. Kolakowski , On Some Aspects of The Modified TSAI-WU Criterion in Thin- Walled Composite Structures. Thin walled Structures. 41 357-374, 2003
- J. H. Holland, Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, 1975.
- R.H. Lopez, M.A. Luersen, and J.E. Souza, “Optimization of Hybrid Laminated Composites using a Genetic Algorithm, “Journal of The Brazilian Society of Mechanical Sciences and Engineering, Vol. 21, No: 3, 269-278, 2009
- J. Kennedy, and R.C. Eberhart, “Particle swarm optimization,” in: Proceedings of the 1995 IEEE International Conference on Neural Networks, 1942–1948, 1995.
- J. Kennedy, “The particle swarm: Social adaptation of knowledge,” in: Proceedings of the 1997 International Conference on Evolutionary Computation, Indianapolis, IN, 1997, 303–308, 1997.
- J. Kennedy, and R.C. Eberhart, Swarm Intelligence, Morgan Kaufmann Publishers, San Francisco, 2001.
- M. Clerc, and J. Kennedy, “The Particle Swarm—explosion, Stability, and Convergence in A Multidimensional Complex Space,” IEEE Transactions on Evolutionary Computation vol. 6. 58–73, 2002.