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arXiv · 2103.08559

Velocity, Velocity Gradient and Vorticity Statistics of Grid Turbulence Obtained Using Digital Cross-correlation PIV

Philippa O'Neill·David Nicolaides·Damon Honnery·Julio Soria
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Abstract

Grid turbulence is investigated using cross-correlation digital Particle Image Velocimetry (PIV) over a range of Taylor Reynolds Number (Re{\lambda}) from 5 to 44. Instantaneous velocity is measured directly and vorticity and velocity gradients are obtained indirectly. Measurements are taken at various downstream locations from the generating grid. Probability distribution functions (PDFs) are calculated for the fluctuating component of the velocity, the spatial velocity gradients and vorticity. The PDF of the velocity fluctuations has a Gaussian distribution while velocity gradients and vorticity are found to have non-Gaussian PDF distributions. The structure of the flow is investigated by calculating spatial autocorrelations for all measured and derived data. The spatial velocity autocorrelations differ from previous experimental measurements of grid turbulence, most of which have been determined from single-point measurements. This difference is believed to be due to differences in the way in which the measurements are made, and particularly to differences in the spatial size of the experimental domain.

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Philippa O'Neill, David Nicolaides, Damon Honnery, Julio Soria. 2021-03-15. Velocity, Velocity Gradient and Vorticity Statistics of Grid Turbulence Obtained Using Digital Cross-correlation PIV. https://arxiv.org/abs/2103.08559

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