Aerodynamic optimisation of non-planar lifting surfaces
Aerodynamic optimisation of non-planar lifting surfaces
A novel population structured genetic algorithm (sGA) with embedded potential flow vortex ring panel method (VRM) has been developed to minimise induced and parasitic drag subject to constraints on lift, root bending moment, and longitudinal static stability. The optimisation architecture can activate up to four independent wing segments allowing up to 28 design variables. Minimum drag of wing tip extensions and winglet configurations are compared using the non-linear stochastic optimisation method. The optimiser identified joined box wings as offering the greatest induced efficiency followed by C-wings. With span and root bending moment constraints winglets offered best total drag reduction. C-wings are further investigated for potential to enhance longitudinal static stability performance by staggering the horizontal extension of the winglet to balance moments around the wing’s centre of gravity. Preliminary results suggest that while longitudinal static stability can be reached it would be very poor. Inclusion of more design constraints and additional analysis of the structural dynamics of C-wings, especially effecting the torsional mode, is necessary.
American Institute of Aeronautics and Astronautics
Skinner, Shaun N.
4e022e5c-a19b-4d97-bc59-6fe98ddf167e
Zare-Behtash, Hossein
74be9b97-cb09-49c6-9f75-7ec58c0dd16c
Skinner, Shaun N.
4e022e5c-a19b-4d97-bc59-6fe98ddf167e
Zare-Behtash, Hossein
74be9b97-cb09-49c6-9f75-7ec58c0dd16c
Skinner, Shaun N. and Zare-Behtash, Hossein
(2016)
Aerodynamic optimisation of non-planar lifting surfaces.
In 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference.
American Institute of Aeronautics and Astronautics.
21 pp
.
(doi:10.2514/6.2016-0164).
Record type:
Conference or Workshop Item
(Paper)
Abstract
A novel population structured genetic algorithm (sGA) with embedded potential flow vortex ring panel method (VRM) has been developed to minimise induced and parasitic drag subject to constraints on lift, root bending moment, and longitudinal static stability. The optimisation architecture can activate up to four independent wing segments allowing up to 28 design variables. Minimum drag of wing tip extensions and winglet configurations are compared using the non-linear stochastic optimisation method. The optimiser identified joined box wings as offering the greatest induced efficiency followed by C-wings. With span and root bending moment constraints winglets offered best total drag reduction. C-wings are further investigated for potential to enhance longitudinal static stability performance by staggering the horizontal extension of the winglet to balance moments around the wing’s centre of gravity. Preliminary results suggest that while longitudinal static stability can be reached it would be very poor. Inclusion of more design constraints and additional analysis of the structural dynamics of C-wings, especially effecting the torsional mode, is necessary.
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e-pub ahead of print date: 1 January 2016
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Local EPrints ID: 491183
URI: http://eprints.soton.ac.uk/id/eprint/491183
PURE UUID: fcc7ecb3-3e4f-4c93-a559-4918c26d59bd
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Date deposited: 14 Jun 2024 16:46
Last modified: 15 Jun 2024 02:11
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Author:
Shaun N. Skinner
Author:
Hossein Zare-Behtash
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