Combined particle image velocimetry/digital image correlation for load estimation

dc.contributor.authorZhang, Peng
dc.contributor.authorPeterson, Sean D.
dc.contributor.authorPorfiri, Maurizio
dc.date.accessioned2018-10-22T18:59:48Z
dc.date.available2018-10-22T18:59:48Z
dc.date.issued2019-01-01
dc.descriptionThe final publication is available at Elsevier via https://dx.doi.org/10.1016/j.expthermflusci.2018.09.011 © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractParticle image velocimetry (PIV) and digital image correlation (DIC) are widely used experimental techniques in fluid mechanics and structural dynamics, respectively. PIV is capable of resolving detailed velocity fields around structures, from which the hydrodynamic loading can be reconstructed. However, PIV is ill-suited to capturing the structural response, which is critical for a complete understanding of the bidirectional coupling between the fluid flow and the structural dynamics. On the other hand, DIC can accurately quantify local deformation of the structure, but does not afford the precise identification of the hydrodynamic loading due to the ill-posed nature of the inverse load estimation process. Here, we explore the feasibility of a combined PIV/DIC technique for the investigation of fluid-structure interactions. Specifically, we study fluid-structure interactions associated with a flexible cantilever plate immersed in a steady unidirectional flow. We demonstrate that the combination of pressure estimation from PIV and deformation measurement through DIC enables the precise identification of the hydrodynamic loading and structural response. The proposed methodology may help in improving our understanding of a number of fluid-structure interaction problems, such as biomimetic propulsion, aeroelasticity of airfoils, and hydrodynamic impact on marine structures.en
dc.description.sponsorshipNational Science Foundation ["CBET-1332204"]en
dc.description.sponsorshipOffice of Naval Research ["N00014-18-1-2218"]en
dc.identifier.urihttps://dx.doi.org/10.1016/j.expthermflusci.2018.09.011
dc.identifier.urihttp://hdl.handle.net/10012/14045
dc.language.isoenen
dc.publisherElsevieren
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFlow dynamicsen
dc.subjectFluid-structure interactionen
dc.subjectPressure reconstructionen
dc.subjectStructural deformationen
dc.subjectUncertaintyen
dc.titleCombined particle image velocimetry/digital image correlation for load estimationen
dc.typeArticleen
dcterms.bibliographicCitationZhang, P., Peterson, S. D., & Porfiri, M. (2019). Combined particle image velocimetry/digital image correlation for load estimation. Experimental Thermal and Fluid Science, 100, 207–221. doi:10.1016/j.expthermflusci.2018.09.011en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Mechanical and Mechatronics Engineeringen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten
uws.typeOfResourceTexten

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1-s2.0-S089417771831118X-main.pdf
Size:
4.2 MB
Format:
Adobe Portable Document Format
Description:
Post-print

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.46 KB
Format:
Plain Text
Description: