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Uncertainty assessment of coupled Digital Image Correlation and Particle Image Velocimetry for fluid-structure interaction wind tunnel experiments
University of Southampton, UK.ORCID iD: 0000-0002-2736-0140
University of Southampton, UK.
University of Southampton, UK.
University of Southampton, UK.
2017 (English)In: Journal of Fluids and Structures, ISSN 0889-9746, E-ISSN 1095-8622, Vol. 68, p. 125-140Article in journal (Refereed) Published
Abstract [en]

The development of advanced composite structures for maritime and aerospace applications requires the ability to quantify their actual performance under known fluid loads. One example is the need to investigate the differences in fluid–structure response of passive adaptive composite structures. A wind tunnel based method is used to quantify the structural behaviour, and fluid response, of a flexible aerofoil under fluid loading. The technique measures the deflection of the structure, with high speed stereoscopic Digital Image Correlation (DIC). The tip vortex position is measured using high resolution stereoscopic Particle Image Velocimetry (PIV). The accuracy of the two full-field optical measurement systems is quantified and the effect of optical interactions is assessed. A flexible NACA0015 rectangular plan-form aerofoil of 0.9 m span and aspect ratio of two is subjected to aerodynamic loading within a closed circuit wind tunnel. The wind speed was varied from 10 to 25 m/s within a 3.5 m x 2.4 m working section. The structural response is measured simultaneously with the fluid flow field around the tip vortex. The tip vortex core, which moved by ≈62 mm at the highest wind speed, is directly compared to the deformation of the structure, which deflected by ≈58 mm. A maximum foil twist of ≈0.6° was observed. The DIC accuracy is evaluated in static and transient conditions for translational and rotational movement. The DIC maximum error for translations, greater than or equal to 0.5 mm, is less than 3% and less than 0.6% in dynamic motions. The DIC total error for rotations is less than 5% in static motions and 1% in dynamic rotations. The PIV uncertainty is quantified a posteriori providing the errors due to the correlation algorithm and the experimental setup. The mean in-plane velocity component uncertainties in the vortex region varied between 1.2% and 3.5% depending on flow speed (≈0.1 px). The mean out-of-plane velocity uncertainty around the vortex varies between 2% and 3.3% depending on flow speed

Place, publisher, year, edition, pages
Academic Press , 2017. Vol. 68, p. 125-140
Keywords [en]
Digital Image Correlation, Fluid structure interaction, Particle Image Velocimetry, Uncertainty analysis, Adaptive optics, Aerodynamics, Aerospace applications, Aspect ratio, Composite structures, Errors, Flexible electronics, Flow of fluids, Flow visualization, Image analysis, Optical data processing, Rotation, Speed, Stereo image processing, Strain measurement, Structure (composition), Velocimeters, Velocity measurement, Vortex flow, Wind, Wind tunnels, Adaptive composite structures, Advanced composite structures, D. digital image correlation (DIC), Digital image correlations, Full field optical measurement, Particle image velocimetries, Stereoscopic particle image velocimetry, Uncertainty assessment
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:ri:diva-71857DOI: 10.1016/j.jfluidstructs.2016.09.002Scopus ID: 2-s2.0-84994246539OAI: oai:DiVA.org:ri-71857DiVA, id: diva2:1839254
Note

Funding details: Engineering and Physical Sciences Research Council, EPSRC, EP/I009876/1; Funding text 1: The authors would like to acknowledge the EPSRC for funding this research under the grant number EP/I009876/1 as well as providing the Photron SA3 high speed cameras under loan from the Engineering Instrument Pool (EIP). The authors would also like to thank David Marshal and his team in the R.J. Mitchell wind tunnel, the members of the Testing and Structures Research Laboratory at the University of Southampton. In addition, our thanks to David Hollis from LaVision for assistance with the DIC and PIV methodologies and for providing the High Speed controller that enabled the coupling between the two measuring systems. The detailed 3D geometry of the specimen and the data presented in the benchmark test are available from the University of Southampton repository at http://dx.doi.org/10.5258/SOTON/400464.

Available from: 2024-02-20 Created: 2024-02-20 Last updated: 2024-02-20Bibliographically approved

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Marimon Giovannetti, Laura

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