What is it about?
Advances in three-dimensional Particle Tracking Velocimetry (4D-PTV) techniques have consistently revealed more accurate information in turbulent. We proposed that particles are not alone in the flow field. They act in coherent with their neighbors. Lagrangian Coherent Track Initialization (LCTI) applies physics-based Finite Time Lyapunov Exponent (FTLE) to build coherent trajectories.
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Why is it important?
Our findings show that adding physics-based information of coherent motions can increase accuracy and robustness of flows with high particle concentration, large temporal scale, and noisy reconstruction featured by complex motions, such as high velocity and acceleration gradients.
Perspectives
The proposed technique can be used either as an embedded module for the 4D-PTV process or as a standalone four-frame-based tracker. More research is needed to understand and track clusters of coherent particles in real experiments.
Ali Rahimi Khojasteh
Institut National de la Recherche Agronomique
Read the Original
This page is a summary of: Lagrangian coherent track initialization, Physics of Fluids, September 2021, American Institute of Physics,
DOI: 10.1063/5.0060644.
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Resources
How to track particles based on coherent motions?
How to track particles based on coherent motions?
Lagrangian and Eulerian dataset of flow over a circular cylinder at Reynolds number 3900
The current dataset contains Eulerian velocity and pressure fields, and Lagrangian particle trajectories of the wake downstream of a smooth cylinder at a Reynolds number equal to 3900.
Download the accepted version
The accepted version is free to access.
For more information
Please find the latest updates of the current study in the mentioned website.
AR Khojasteh
Ali Rahimi Khojasteh
Contributors
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