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Integrated aerodynamics/structure/stability optimization of large aircraft in conceptual design

Authors :
Xiaozhe Wang
Chao Yang
Zhiqiang Wan
Source :
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 232:745-756
Publication Year :
2017
Publisher :
SAGE Publications, 2017.

Abstract

The multidisciplinary design optimization is suitable for modern large aircraft, and it has the potential in conceptual phase of aircraft design especially. An integrated optimization method considering the disciplines of aerodynamics, structure and stability for large aircraft design in conceptual phase is presented. The objective is the minimum stiffness of a beam-frame wing structure subject to aeroelasticity, aerodynamics, and stability constraints. The aeroelastic responses are computed by commercial software MSC. Nastran, and the cruise stability is evaluated by the linear small-disturbance equations. A viscous-inviscid iteration method, which is composed of a computational fluid dynamics tool solving the Euler equations and a viscous correction method, is used for computing the flow over the model. The method ensures effective and rapid computation. In this paper, a complete aircraft model is optimized, and all the responses are computed in the trim condition with a fixed maximum takeoff weight. Genetic algorithm is utilized for global optimizations, and the optimal jig shape, the elastic axis positions and the stiffness distribution can be attained adequately. The results show that the method has a value of application in engineering optimizations. For the satisfaction of the total drag and stability constraints, the structure weight usually needs a price to pay. The integrated optimization captures the tradeoff between aerodynamics, structure and stability, and the repeated design can be avoided.

Details

ISSN :
20413025 and 09544100
Volume :
232
Database :
OpenAIRE
Journal :
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Accession number :
edsair.doi...........5eb9eada1d20b5f681e9ce2138df6cf2
Full Text :
https://doi.org/10.1177/0954410016687143