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Assessment of spatial derivatives determined from scattered 3D PTV data

Assessment of spatial derivatives determined from scattered 3D PTV data Based on a linear regression model, we propose a numerical method to determine the spatial derivatives from scattered 3D PTV (particle-tracking velocimetry) data. Various quantities allowing an assessment of the numerically calculated gradients are introduced and their reliability is investigated. The performance of the numerical scheme and of the “quality estimators” was examined for different synthetic data sets obtained from Burgers' vortex. The energy dissipation was computed from experimental PTV measurements performed for a forward-facing step configuration. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Experiments in Fluids Springer Journals

Assessment of spatial derivatives determined from scattered 3D PTV data

Experiments in Fluids , Volume 30 (5) – May 7, 2001

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Publisher
Springer Journals
Copyright
Copyright © 2001 by Springer-Verlag Berlin Heidelberg
Subject
Engineering; Engineering Fluid Dynamics; Fluid- and Aerodynamics; Engineering Thermodynamics, Heat and Mass Transfer
ISSN
0723-4864
eISSN
1432-1114
DOI
10.1007/s003480000225
Publisher site
See Article on Publisher Site

Abstract

Based on a linear regression model, we propose a numerical method to determine the spatial derivatives from scattered 3D PTV (particle-tracking velocimetry) data. Various quantities allowing an assessment of the numerically calculated gradients are introduced and their reliability is investigated. The performance of the numerical scheme and of the “quality estimators” was examined for different synthetic data sets obtained from Burgers' vortex. The energy dissipation was computed from experimental PTV measurements performed for a forward-facing step configuration.

Journal

Experiments in FluidsSpringer Journals

Published: May 7, 2001

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