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dc.contributor.authorDabiri, John O.  Concept link
dc.contributor.authorBose, Sanjeeb  Concept link
dc.contributor.authorGemmell, Brad J.  Concept link
dc.contributor.authorColin, Sean P.  Concept link
dc.contributor.authorCostello, John H.  Concept link
dc.date.accessioned2014-04-01T15:19:24Z
dc.date.available2014-04-01T15:19:24Z
dc.date.issued2013-10-10
dc.identifier.citationJournal of Experimental Biology 217 (2014): 331-336en_US
dc.identifier.urihttps://hdl.handle.net/1912/6526
dc.description© The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Journal of Experimental Biology 217 (2014): 331-336, doi:10.1242/​jeb.092767.en_US
dc.description.abstractWe describe and characterize a method for estimating the pressure field corresponding to velocity field measurements such as those obtained by using particle image velocimetry. The pressure gradient is estimated from a time series of velocity fields for unsteady calculations or from a single velocity field for quasi-steady calculations. The corresponding pressure field is determined based on median polling of several integration paths through the pressure gradient field in order to reduce the effect of measurement errors that accumulate along individual integration paths. Integration paths are restricted to the nodes of the measured velocity field, thereby eliminating the need for measurement interpolation during this step and significantly reducing the computational cost of the algorithm relative to previous approaches. The method is validated by using numerically simulated flow past a stationary, two-dimensional bluff body and a computational model of a three-dimensional, self-propelled anguilliform swimmer to study the effects of spatial and temporal resolution, domain size, signal-to-noise ratio and out-of-plane effects. Particle image velocimetry measurements of a freely swimming jellyfish medusa and a freely swimming lamprey are analyzed using the method to demonstrate the efficacy of the approach when applied to empirical data.en_US
dc.description.sponsorshipThis research was supported by Office of Naval Research awards N000140810918 and N000141010137 to J.O.D.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherCompany of Biologistsen_US
dc.relation.urihttps://doi.org/10.1242/​jeb.092767
dc.rightsAttribution 3.0 Unported
dc.rights.urihttp://creativecommons.org/licenses/by/3.0
dc.subjectSwimmingen_US
dc.subjectFlyingen_US
dc.subjectWakesen_US
dc.subjectFeedingen_US
dc.subjectParticle image velocimetryen_US
dc.titleAn algorithm to estimate unsteady and quasi-steady pressure fields from velocity field measurementsen_US
dc.typeArticleen_US
dc.identifier.doi10.1242/​jeb.092767


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Attribution 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution 3.0 Unported