Stacking sequence optimization of a composite pressure vessel by genetic algorithm

Date

2007

Author

Kutay, Halil

Metadata

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Stacking sequence design is a combinatorial problem when the fiber orientations in each layer are restricted to certain angles. In addition, there often exist many optimal or nearoptimal designs for the stacking sequence of a composite pressure vessel under different loading conditions. Genetic algorithms are quite well suited for finding the optimal designs for such a combinatorial problem. In this thesis, a genetic algorithm code is developed in Matlab, optimizing the stacking sequence of a composite pressure vessel subjected to internal and external pressures, axial load and body force due to rotation. For testing of the code and identification of the effects of optimization parameters, a problem, whose optimum solution is obvious, is defined and the optimum design is tried to be found by using the developed code. The results have shown that the code was quite successful in finding the best design. Afterwards, the code is used for the optimization of the stacking sequence of a composite pressure vessel under different loading conditions. Again the code has proven its reliability in finding the optimal designs. The developed genetic algorithm optimization code also has the infrastructure to be easily adapted to the solution of different combinatorial problems.

Subject Keywords

Genetic algorithms., Motor Vehicles.

URI

http://etd.lib.metu.edu.tr/upload/2/12608687/index.pdf
https://hdl.handle.net/11511/17019

Collections

Graduate School of Natural and Applied Sciences, Theses