Lagrangian and Eulerian dataset of the wake downstream of a smooth cylinder at a Reynolds number equal to 3900

Journal Article (2022)
Author(s)

AR Khojasteh (INRA Institut National de La Recherche Agronomique)

Sylvain Laizet (Imperial College London)

Dominique Heitz (INRA Institut National de La Recherche Agronomique)

Yin Yang (INRA Institut National de La Recherche Agronomique)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1016/j.dib.2021.107725
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Publication Year
2022
Language
English
Affiliation
External organisation
Volume number
40

Abstract

The dataset contains Eulerian velocity and pressure fields, and Lagrangian particle trajectories of the wake flow downstream of a smooth cylinder at a Reynolds number equal to 3900. An open source Direct Numerical Simulation (DNS) flow solver named Incompact3d was used to calculate the Eulerian field around the cylinder. The synthetic Lagrangian tracer particles were transported using a fourth-order Runge-Kutta scheme in time and trilinear interpolations in space. Trajectories of roughly 200,000 particles for two 3D sub-domains are available to the public. This dataset can be used as a test case for tracking algorithm assessment, exploring the Lagrangian physics, statistic analyses, machine learning, and data assimilation interests.

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