雷诺数
唤醒
欧拉路径
机械
解算器
拉格朗日粒子跟踪
物理
圆柱
经典力学
拉格朗日
数学
数学分析
计算机科学
计算流体力学
湍流
几何学
数学优化
作者
Ali Rahimi Khojasteh,Sylvain Laizet,Dominique Heitz,Yin Yang
标识
DOI:10.1016/j.dib.2021.107725
摘要
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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