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An algorithm to estimate unsteady and quasi-steady pressure fields from velocity field measurements

Dabiri, John O. and Bose, Sanjeeb and Gemmell, Brad J. and Colin, Sean P. and Costello, John H. (2014) An algorithm to estimate unsteady and quasi-steady pressure fields from velocity field measurements. Journal of Experimental Biology, 217 (3). pp. 331-336. ISSN 0022-0949. http://resolver.caltech.edu/CaltechAUTHORS:20140326-095809105

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Abstract

We 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.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1242/jeb.092767DOIArticle
http://jeb.biologists.org/content/217/3/331PublisherArticle
http://arxiv.org/abs/1303.6966arXivDiscussion Paper
ORCID:
AuthorORCID
Dabiri, John O.0000-0002-6722-9008
Gemmell, Brad J.0000-0001-9031-6591
Colin, Sean P.0000-0003-4463-5588
Costello, John H.0000-0002-6967-3145
Additional Information:© 2014 Published by The Company of Biologists Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. Received 19 June 2013; Accepted 26 September 2013. The authors gratefully acknowledge S. Kern and P. Koumoutsakos for providing the three-dimensional numerical simulation of the self-propelled swimmer, and X. Liu for providing access to the pressure gradient integration code used in Liu and Katz (Liu and Katz, 2006). This research was supported by Office of Naval Research awards N000140810918 and N000141010137 to J.O.D. Deposited in PMC for immediate release.
Group:GALCIT
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N000140810918
Office of Naval Research (ONR)N000141010137
Subject Keywords:Swimming, Flying, Wakes, Feeding, Particle image velocimetry
Record Number:CaltechAUTHORS:20140326-095809105
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20140326-095809105
Official Citation:John O. Dabiri, Sanjeeb Bose, Brad J. Gemmell, Sean P. Colin and John H. Costello An algorithm to estimate unsteady and quasi-steady pressure fields from velocity field measurements J Exp Biol 2014 217:331-336. ; First posted online October 10, 2013, doi:10.1242/jeb.092767
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:44520
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:26 Mar 2014 19:38
Last Modified:24 Apr 2019 17:19

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