4.7 Article

Dynamics of three-dimensional vortical structures behind a barchan dune based on tomographic particle image velocimetry

Journal

PHYSICS OF FLUIDS
Volume 34, Issue 7, Pages -

Publisher

AIP Publishing
DOI: 10.1063/5.0098530

Keywords

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Funding

  1. National Natural Science Foundation of China [12072017, 11721202]

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Tomographic particle image velocimetry (PIV) was used to measure and analyze the three-dimensional flow structures and dynamic characteristics behind a fixed-bed barchan dune model. The study found arch-shaped vortex chains and quasi-streamwise vortex structures, and revealed that the arch-shaped vortex system dominates the barchan dune wake.
In this study, tomographic particle image velocimetry (PIV) was used to measure three-dimensional (3D) flow structures behind a fixed-bed barchan dune model at a Reynolds number of 2528 in a circulation water tunnel. The topological evolution of the 3D instantaneous vortex structures and their dynamic characteristics in the dune wake were analyzed. 3D instantaneous arch-shaped vortex chains shedding from the barchan and typical quasi-streamwise vortex structures induced by the development of an internal boundary layer were found to be located both before and after the reattachment region, which differs a little from the results of previous studies. Nevertheless, both conditionally averaged and typical instantaneous 3D flow fields revealed that the arch-shaped vortex system dominates the barchan dune wake, and the inclination angle of these spanwise-oriented structures was found to change as it propagates downstream. Additionally, the dynamic characteristics of the dune wake were found to be similar to a flapping phenomenon such as oscillation of the recirculation in a backwardfacing step flow. To provide complementary insight into this phenomenon, the separated and reattached shear flow were also examined using two-dimensional time-resolved planar PIV. It was found that the basic unsteady flapping motion, vortex roll-up, and complex vortex interactions can all be analyzed with ease in a Lagrangian framework.

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