Particle position prediction based on Lagrangian coherency for flow over a cylinder in 4D-PTV
| Autor: | Ali Rahimi Khojasteh, Dominique Heitz, Yin Yang, Lionel Fiabane |
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| Přispěvatelé: | Optimisation des procédés en Agriculture, Agroalimentaire et Environnement (UR OPAALE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Physics::Fluid Dynamics
Lagrangian coherent structure Lagrangian particle tracking Particle tracking techniques [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] |
| Zdroj: | 14th International Symposium on Particle Image Velocimetry – ISPIV 2021 14th International Symposium on Particle Image Velocimetry – ISPIV 2021, Aug 2021, Chicago, United States. 9 p HAL |
| Popis: | International audience; Recent developments in time-resolved Particle Tracking Velocimetry (4D-PTV) consistently improved tracking accuracy and robustness. We propose a novel technique named "Lagrangian coherent predictor" to estimate particle positions within the 4D-PTV algorithm. We add spatial and temporal coherency information of neighbour particles to predict a single trajectory using Lagrangian Coherent Structures (LCS). We found that even a weak signal from coherent neighbour motions improves particle prediction accuracy in complex flow regions. We applied Finite Time Lyapunov Exponent (FTLE) to quantify local boundaries (i.e. ridges) of coherent motions. Synthetic analysis of the wake behind a smooth cylinder at Reynolds number equal to 3900 showed enhanced estimation compared with the recent predictor functions employed in 4D-PTV. Results of the experimental study of the same flow configuration are reported. We compared predicted positions with the optimised final positions of Shake The Box (STB). It was found that the Lagrangian coherent predictor succeeded in estimating particle positions with minimum deviation to the optimised positions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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