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An efficient implementation of aeroelastic tailoring based on efficient computational fluid dynamics-based reduced order model

An efficient implementation of aeroelastic tailoring based on efficient computational fluid dynamics-based reduced order model
An efficient implementation of aeroelastic tailoring based on efficient computational fluid dynamics-based reduced order model
Current and future trends in the aerospace industry leverage on the potential benefits provided by lightweight materials that can be tailored to realize desired mechanical characteristics when loaded. For aircraft design, the deployment of aeroelastic tailoring is hindered by the need to re-compute, for any possible modification of the structure, the dependence of the aerodynamic field on the underlying structural properties. To make progress in this direction, the work presents a rapid computational fluid dynamics based aeroelastic tool which is built around a reduced order model for the aerodynamics that is updated for any modification of the structure by using the structural dynamics reanalysis method. The aeroelastic tailoring tool is demonstrated in transonic flow for the AGARD 445.6 wing, suitably modified with composite materials. It was found that the proposed method provides accurate engineering predictions for the aeroelastic response and stability when the structure is modified from the baseline model.
Aeroelastic tailoring, Aeroelastic characteristics evaluation method, CFD-based POD/ROM, Structural dynamic reanalysis method
0889-9746
182-198
Li, Dongfeng
d65a0770-32b9-4076-842e-ff020dd252f8
Gong, Chunlin
4b994f32-9e48-4f1c-afe2-6bf4cb37ba77
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Chen, Gang
1118ba82-ae57-4eb9-9c64-c011c531995b
Li, Y.
d53810d0-bc88-491d-b315-9b9273d7bf52
Li, Dongfeng
d65a0770-32b9-4076-842e-ff020dd252f8
Gong, Chunlin
4b994f32-9e48-4f1c-afe2-6bf4cb37ba77
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Chen, Gang
1118ba82-ae57-4eb9-9c64-c011c531995b
Li, Y.
d53810d0-bc88-491d-b315-9b9273d7bf52

Li, Dongfeng, Gong, Chunlin, Da Ronch, Andrea, Chen, Gang and Li, Y. (2019) An efficient implementation of aeroelastic tailoring based on efficient computational fluid dynamics-based reduced order model. Journal of Fluids and Structures, 84, 182-198. (doi:10.1016/j.jfluidstructs.2018.10.011).

Record type: Article

Abstract

Current and future trends in the aerospace industry leverage on the potential benefits provided by lightweight materials that can be tailored to realize desired mechanical characteristics when loaded. For aircraft design, the deployment of aeroelastic tailoring is hindered by the need to re-compute, for any possible modification of the structure, the dependence of the aerodynamic field on the underlying structural properties. To make progress in this direction, the work presents a rapid computational fluid dynamics based aeroelastic tool which is built around a reduced order model for the aerodynamics that is updated for any modification of the structure by using the structural dynamics reanalysis method. The aeroelastic tailoring tool is demonstrated in transonic flow for the AGARD 445.6 wing, suitably modified with composite materials. It was found that the proposed method provides accurate engineering predictions for the aeroelastic response and stability when the structure is modified from the baseline model.

Text
YJFLS 2018 42 Manuscript Revision R2 10 04 - Accepted Manuscript
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More information

Accepted/In Press date: 31 October 2018
e-pub ahead of print date: 15 November 2018
Published date: January 2019
Keywords: Aeroelastic tailoring, Aeroelastic characteristics evaluation method, CFD-based POD/ROM, Structural dynamic reanalysis method

Identifiers

Local EPrints ID: 426333
URI: http://eprints.soton.ac.uk/id/eprint/426333
ISSN: 0889-9746
PURE UUID: 4b132cec-b413-497f-b26d-d674a98c38e5
ORCID for Andrea Da Ronch: ORCID iD orcid.org/0000-0001-7428-6935

Catalogue record

Date deposited: 23 Nov 2018 17:30
Last modified: 16 Mar 2024 07:20

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Contributors

Author: Dongfeng Li
Author: Chunlin Gong
Author: Andrea Da Ronch ORCID iD
Author: Gang Chen
Author: Y. Li

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