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Shock and Vibration
Volume 2017 (2017), Article ID 2564314, 16 pages
Research Article

Aeroelastic Optimization Design for High-Aspect-Ratio Wings with Large Deformation

1School of Aeronautic Science and Engineering, Beihang University, Beijing, China
2Chengdu Aircraft Design & Research Institute, Chengdu, China

Correspondence should be addressed to Yang Meng; nc.ude.aaub@ymmus

Received 17 May 2017; Revised 11 September 2017; Accepted 17 September 2017; Published 23 October 2017

Academic Editor: Enrico Zappino

Copyright © 2017 Changchuan Xie et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents a framework of aeroelastic optimization design for high-aspect-ratio wing with large deformation. A highly flexible wing model for wind tunnel test is optimized subjected to multiple aeroelastic constraints. Static aeroelastic analysis is carried out for the beamlike wing model, using a geometrically nonlinear beam formulation coupled with the nonplanar vortex lattice method. The flutter solutions are obtained using the - method based on the static equilibrium configuration. The corresponding unsteady aerodynamic forces are calculated by nonplanar doublet-lattice method. This paper obtains linear and nonlinear aeroelastic optimum results, respectively, by the ISIGHT optimization platform. In this optimization problem, parameters of beam cross section are chosen as the design variables to satisfy the displacement, flutter, and strength requirements, while minimizing wing weight. The results indicate that it is necessary to consider geometrical nonlinearity in aeroelastic optimization design. In addition, optimization strategies are explored to simplify the complex optimization process and reduce the computing time. Different criterion values are selected and studied for judging the effects of the simplified method on the computing time and the accuracy of results. In this way, the computing time is reduced by more than 30% on the premise of ensuring the accuracy.