Experimental Aeroelastic Characterization of a Very Flexible Wing in Steady and Unsteady Inflow

Conference paper (2022)

Authors

Christoph Mertens Aerodynamics - Aerospace Engineering
J. Sodja Aerospace Structures & Computational Mechanics - Aerospace Engineering
A. Sciacchitano Aerodynamics - Aerospace Engineering
Bas van Oudheusden Aerodynamics - Aerospace Engineering
Research Group
Aerodynamics (Aerospace Engineering) (TU Delft)
Copyright: © 2022 C. Mertens, J. Sodja, A. Sciacchitano, B.W. van Oudheusden
DOI: https://doi.org/10.2514/6.2022-1344
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Aerospace Engineering

Department

Flow Physics and Technology

Research Group

Aerodynamics

Abstract

The aeroelastic response of a very flexible wing in steady and unsteady inflow conditions is measured in a wind tunnel experiment. An integrated aeroelastic characterization is performed with a non-intrusive optical setup that allows simultaneous measurements of the structural motion and the flow field around the wing. The experimental aerodynamic loads that are inferred from the flow field measurements are in very good agreement with reference data from a force balance. Prior to the wind tunnel experiment, results of the numerical modal analysis of a structural model of the wing are compared with the experimental results from a ground vibration test. An aeroelastic model validation is achieved by applying the experimental aerodynamic loads to the structural model of the wing. The results of this structural analysis are compared with the measured structural response in the wind tunnel for steady inflow conditions, yielding differences of around 15% in tip displacements when using a linear structural model.

Files

3605778_Mertens_SciTech2022.pd... (pdf)
(pdf | 1.7 Mb)
Unknown license

Download not available

6.2022_1344.pdf
(pdf | 1.23 Mb)
Unknown license