The University of Southampton
University of Southampton Institutional Repository

Geometrically nonlinear coupled-adjoint aerostructural optimization of ultra-high aspect ratio wings with flutter constraints

Geometrically nonlinear coupled-adjoint aerostructural optimization of ultra-high aspect ratio wings with flutter constraints
Geometrically nonlinear coupled-adjoint aerostructural optimization of ultra-high aspect ratio wings with flutter constraints
To reach the next generation of sustainable and fuel-efficient aviation goals, novel aircraft concepts with Ultra-High Aspect Ratio Wings (UHARW), such as the Strut-Braced Wing (SBW) configuration, are promising. However, UHARW are more flexible and therefore more prone to flutter compared to moderate aspect ratio wings. In this work, a flutter constraint is integrated with the geometrically nonlinear structural model for aircraft conceptual design, which is developed for the rapid transonic flutter analysis based on transonic indicial functions. The code is fully differentiated for the coupled adjoint aerostructural optimization. Aerostructural optimization studies are performed for an SBW aircraft with UHARW. The design variables include wing box structure, wing airfoil shapes, wing planform, and strut thickness-to-chord ratios. The optimization is to reduce the aircraft fuel mass while meeting the constraints on the wing and strut structural failure, aileron efficiency, wing loading, and flutter. The aerostructural optimization reduces the aircraft fuel mass by more than 6% and reduces the wing and strut structural mass by 7.4%. The optimizer increases the stiffness of the wing, and reduces the distance between the wing sectional center of gravity and the elastic axis, producing an optimized wing free from flutter within the flight envelope.
Aerospace Research Central
Ma, Yiyuan
12e35b56-79f2-4412-a16f-32da6bd34f94
Abouhamzeh, Morteza
49ed0a64-90b2-464c-adc6-2ad92d72ab43
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a
Ma, Yiyuan
12e35b56-79f2-4412-a16f-32da6bd34f94
Abouhamzeh, Morteza
49ed0a64-90b2-464c-adc6-2ad92d72ab43
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a

Ma, Yiyuan, Abouhamzeh, Morteza, Da Ronch, Andrea and Elham, Ali (2023) Geometrically nonlinear coupled-adjoint aerostructural optimization of ultra-high aspect ratio wings with flutter constraints. In AIAA SCITECH 2023 Forum. Aerospace Research Central.. (doi:10.2514/6.2023-2205).

Record type: Conference or Workshop Item (Paper)

Abstract

To reach the next generation of sustainable and fuel-efficient aviation goals, novel aircraft concepts with Ultra-High Aspect Ratio Wings (UHARW), such as the Strut-Braced Wing (SBW) configuration, are promising. However, UHARW are more flexible and therefore more prone to flutter compared to moderate aspect ratio wings. In this work, a flutter constraint is integrated with the geometrically nonlinear structural model for aircraft conceptual design, which is developed for the rapid transonic flutter analysis based on transonic indicial functions. The code is fully differentiated for the coupled adjoint aerostructural optimization. Aerostructural optimization studies are performed for an SBW aircraft with UHARW. The design variables include wing box structure, wing airfoil shapes, wing planform, and strut thickness-to-chord ratios. The optimization is to reduce the aircraft fuel mass while meeting the constraints on the wing and strut structural failure, aileron efficiency, wing loading, and flutter. The aerostructural optimization reduces the aircraft fuel mass by more than 6% and reduces the wing and strut structural mass by 7.4%. The optimizer increases the stiffness of the wing, and reduces the distance between the wing sectional center of gravity and the elastic axis, producing an optimized wing free from flutter within the flight envelope.

This record has no associated files available for download.

More information

e-pub ahead of print date: 19 January 2023
Venue - Dates: AIAA SciTech 2023 Forum, Gaylord National Resort & Convention Center, National Harbor, United States, 2023-01-23 - 2023-01-27

Identifiers

Local EPrints ID: 484042
URI: http://eprints.soton.ac.uk/id/eprint/484042
PURE UUID: 0ee815f2-a732-4f11-8637-5367c0362569
ORCID for Andrea Da Ronch: ORCID iD orcid.org/0000-0001-7428-6935

Catalogue record

Date deposited: 09 Nov 2023 17:43
Last modified: 18 Mar 2024 03:25

Export record

Altmetrics

Contributors

Author: Yiyuan Ma
Author: Morteza Abouhamzeh
Author: Andrea Da Ronch ORCID iD
Author: Ali Elham

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×