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Geometrically nonlinear coupled adjoint aerostructural optimization of natural-laminar-flow strut-braced wing

Geometrically nonlinear coupled adjoint aerostructural optimization of natural-laminar-flow strut-braced wing
Geometrically nonlinear coupled adjoint aerostructural optimization of natural-laminar-flow strut-braced wing
Novel aircraft concepts employing ultrahigh-aspect-ratio wings, such as the strut-braced wing (SBW) configuration, are promising ways to achieve the next-generation sustainable and fuel-efficient aviation goals. However, as the wing aspect ratio increases, the wing increasingly exhibits more flexibility, higher deformation, and geometrically nonlinear behavior that cannot be accurately simulated by conventional sizing methods and typical linear structural analysis models. This paper establishes a framework for SBW aircraft conceptual design, conceptual optimization, and aerostructural optimization. The presented aerostructural optimization method has medium-fidelity and physics-based features. A geometrically nonlinear structural analysis solver and a quasi-three-dimensional aerodynamic solver are coupled for the aerostructural optimization of composite natural-laminar-flow SBW aircraft. A medium-range (MR)-SBW aircraft is initially designed and optimized in the conceptual design stage. A gradient-based aerostructural optimization is performed using the proposed tool for minimizing the fuel mass of the initially sized and optimized MR-SBW aircraft. The optimization results in a more than 10% reduction in fuel mass, a more than 8% reduction in aircraft maximum takeoff mass, and a more than 30% reduction in wing and strut structural weight by optimizing the wing box structure, the wing planform, and the airfoil shape while satisfying the constraints on structural failure, wing loading, and aileron effectiveness.
0021-8669
935-954
Ma, Yiyuan
ccea8698-10f9-4f34-9cc7-c4983400b103
Abouhamzeh, Morteza
135fce39-e721-4cb1-a098-2b5bf30f820b
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a
Ma, Yiyuan
ccea8698-10f9-4f34-9cc7-c4983400b103
Abouhamzeh, Morteza
135fce39-e721-4cb1-a098-2b5bf30f820b
Elham, Ali
676043c6-547a-4081-8521-1567885ad41a

Ma, Yiyuan, Abouhamzeh, Morteza and Elham, Ali (2023) Geometrically nonlinear coupled adjoint aerostructural optimization of natural-laminar-flow strut-braced wing. Journal of Aircraft, 60 (3), 935-954. (doi:10.2514/1.C036988).

Record type: Article

Abstract

Novel aircraft concepts employing ultrahigh-aspect-ratio wings, such as the strut-braced wing (SBW) configuration, are promising ways to achieve the next-generation sustainable and fuel-efficient aviation goals. However, as the wing aspect ratio increases, the wing increasingly exhibits more flexibility, higher deformation, and geometrically nonlinear behavior that cannot be accurately simulated by conventional sizing methods and typical linear structural analysis models. This paper establishes a framework for SBW aircraft conceptual design, conceptual optimization, and aerostructural optimization. The presented aerostructural optimization method has medium-fidelity and physics-based features. A geometrically nonlinear structural analysis solver and a quasi-three-dimensional aerodynamic solver are coupled for the aerostructural optimization of composite natural-laminar-flow SBW aircraft. A medium-range (MR)-SBW aircraft is initially designed and optimized in the conceptual design stage. A gradient-based aerostructural optimization is performed using the proposed tool for minimizing the fuel mass of the initially sized and optimized MR-SBW aircraft. The optimization results in a more than 10% reduction in fuel mass, a more than 8% reduction in aircraft maximum takeoff mass, and a more than 30% reduction in wing and strut structural weight by optimizing the wing box structure, the wing planform, and the airfoil shape while satisfying the constraints on structural failure, wing loading, and aileron effectiveness.

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SBW_optimization - Accepted Manuscript
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Accepted/In Press date: 9 November 2022
e-pub ahead of print date: 18 December 2022
Published date: 1 May 2023
Additional Information: Funding Information: This project has received partial funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement no 883670. The JU receives support from the European Union’s Horizon 2020 Research and Innovation Programme and the Clean Sky 2 JU members other Publisher Copyright: © 2023, AIAA International. All rights reserved.

Identifiers

Local EPrints ID: 475058
URI: http://eprints.soton.ac.uk/id/eprint/475058
ISSN: 0021-8669
PURE UUID: a60eabec-6c14-4596-a08c-76c414da1e11

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Date deposited: 09 Mar 2023 18:59
Last modified: 17 Mar 2024 00:38

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Contributors

Author: Yiyuan Ma
Author: Morteza Abouhamzeh
Author: Ali Elham

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