Imperial College London

ProfessorSylvainLaizet

Faculty of EngineeringDepartment of Aeronautics

Professor in Computational Fluid Mechanics
 
 
 
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Contact

 

+44 (0)20 7594 5045s.laizet Website

 
 
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Location

 

339City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Khojasteh:2022:10.1016/j.dib.2021.107725,
author = {Khojasteh, AR and Laizet, S and Heitz, D and Yang, Y},
doi = {10.1016/j.dib.2021.107725},
journal = {Data in Brief},
pages = {1--9},
title = {Lagrangian and Eulerian dataset of the wake downstream of a smooth cylinder at a Reynolds number equal to 3900.},
url = {http://dx.doi.org/10.1016/j.dib.2021.107725},
volume = {40},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Khojasteh,AR
AU - Laizet,S
AU - Heitz,D
AU - Yang,Y
DO - 10.1016/j.dib.2021.107725
EP - 9
PY - 2022///
SN - 2352-3409
SP - 1
TI - Lagrangian and Eulerian dataset of the wake downstream of a smooth cylinder at a Reynolds number equal to 3900.
T2 - Data in Brief
UR - http://dx.doi.org/10.1016/j.dib.2021.107725
UR - https://www.ncbi.nlm.nih.gov/pubmed/34993288
UR - https://www.sciencedirect.com/science/article/pii/S2352340921010003?via%3Dihub
UR - http://hdl.handle.net/10044/1/93547
VL - 40
ER -