Optimization Methodology for Composite Stiffened Panel Based on Genetic Algorithm

Da Feng Jin; Zhe Liu; Zhi Rui Fan

doi:10.4028/www.scientific.net/AMR.952.34

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 952Optimization Methodology for Composite Stiffened...

Optimization Methodology for Composite Stiffened Panel Based on Genetic Algorithm

Abstract:

A novel optimization methodology for stiffened panel is proposed in this paper. The purpose of the optimization methodology is to improve the first buckling load of the panel which is obtained by finite element method. The stacking sequence of the stiffeners is taken as design variables. In order to ensure the manufacturability of design, the design guidelines of stacking sequence are taken into account. A DOE based on Halton Sequence makes the initial points of genetic algorithm spread more evenly in the design space of laminate parameters and consequently accelerates the search to convergence. The numerical example verifies the efficiency of this method.

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Periodical:

Advanced Materials Research (Volume 952)

Pages:

34-37

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.952.34

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Online since:

May 2014

Authors:

Da Feng Jin, Zhe Liu*, Zhi Rui Fan

Keywords:

Buckling Load, DOE, Genetic Algorithm (GA), Laminate Optimization

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References

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