An algorithm to estimate unsteady and quasi-steady pressure fields from velocity field measurements
Dabiri, John O.
Gemmell, Brad J.
Colin, Sean P.
Costello, John H.
MetadataShow full item record
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.
© 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.
Suggested CitationJournal of Experimental Biology 217 (2014): 331-336
The following license files are associated with this item:
Showing items related by title, author, creator and subject.
Hydrothermal vent fields and chemosynthetic biota on the world's deepest seafloor spreading centre Connelly, Douglas P.; Copley, Jonathan T.; Murton, Bramley J.; Stansfield, Kate; Tyler, Paul A.; German, Christopher R.; Van Dover, Cindy L.; Amon, Diva; Furlong, Maaten; Grindlay, Nancy; Hayman, Nicholas W.; Huhnerbach, Veit; Judge, Maria; Le Bas, Tim; McPhail, Stephen; Meier, Alexandra; Nakamura, Ko-ichi; Nye, Verity; Pebody, Miles; Pedersen, Rolf B.; Plouviez, Sophie; Sands, Carla M.; Searle, Roger C.; Stevenson, Peter; Taws, Sarah; Wilcox, Sally (Nature Publishing Group, 2012-01-10)The Mid-Cayman spreading centre is an ultraslow-spreading ridge in the Caribbean Sea. Its extreme depth and geographic isolation from other mid-ocean ridges offer insights into the effects of pressure on hydrothermal ...
Effects of variable magma supply on mid-ocean ridge eruptions : constraints from mapped lava flow fields along the Galápagos Spreading Center Colman, Alice; Sinton, John M.; White, Scott M.; McClinton, J. Timothy; Bowles, Julie A.; Rubin, Kenneth H.; Behn, Mark D.; Cushman, Buffy; Eason, Deborah E.; Gregg, Tracy K. P.; Gronvold, Karl; Hidalgo, Silvana; Howell, Julia; Neill, Owen; Russo, Chris (American Geophysical Union, 2012-08-25)Mapping and sampling of 18 eruptive units in two study areas along the Galápagos Spreading Center (GSC) provide insight into how magma supply affects mid-ocean ridge (MOR) volcanic eruptions. The two study areas have similar ...
Remotely sensing the morphometrics and dynamics of a cold region dune field using historical aerial photography and airborne LIDAR data Baughman, Carson A.; Jones, Benjamin M.; Bodony, Karin L.; Mann, Daniel H.; Larsen, Chris F.; Himelstoss, Emily; Smith, Jeremy (MDPI AG, 2018-05-19)This study uses an airborne Light Detection and Ranging (LiDAR) survey, historical aerial photography and historical climate data to describe the character and dynamics of the Nogahabara Sand Dunes, a sub-Arctic dune field ...