Composite wing optimization design based on distributed computing

CHENG Wenyuan; CHANG Yan; CUI Degang; XIE Xianghui

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Article Navigation > Acta Materiae Compositae Sinica > 2007 > 24(1): 167-171

CHENG Wenyuan, CHANG Yan, CUI Degang, et al. Composite wing optimization design based on distributed computing[J]. Acta Materiae Compositae Sinica, 2007, 24(1): 167-171.

Citation:

CHENG Wenyuan, CHANG Yan, CUI Degang, et al. Composite wing optimization design based on distributed computing[J]. Acta Materiae Compositae Sinica, 2007, 24(1): 167-171.

CHENG Wenyuan, CHANG Yan, CUI Degang, et al. Composite wing optimization design based on distributed computing[J]. Acta Materiae Compositae Sinica, 2007, 24(1): 167-171.

Citation:

CHENG Wenyuan, CHANG Yan, CUI Degang, et al. Composite wing optimization design based on distributed computing[J]. Acta Materiae Compositae Sinica, 2007, 24(1): 167-171.

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Composite wing optimization design based on distributed computing

1.
School of Aeronautic Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
2.
Jiangnan Institute of Computing Technology, Wuxi 214083, China

More Information

Corresponding author: CUI Degang
Received Date: 2006-03-13
Rev Recd Date: 2006-05-30
Publish Date: 2007-02-15

Abstract

Abstract

The high accuracy commercial FEA (finite element analysis) software was integrated with GA (genetic algorithm) to solve the composite wing optimization design for aeroelastic request. An optimization algorithm for composite wings was proposed that integrates the distributed computing with GA to enhance the efficiency. Taking the aileron and control surface reversal problem of a high-aspect-ratio composite wing as an example, the result shows that the algorithm can solve the complicated structure optimization problem in engineering.
- multi-objective optimization,
- composite material,
- distributed computing,
- genetic algorithm
Long Abstrsct
Innovation Points