A quantitative study of three-dimensional Lagrangian particle tracking algorithms

2005 ◽  
Vol 40 (2) ◽  
pp. 301-313 ◽  
Author(s):  
Nicholas T. Ouellette ◽  
Haitao Xu ◽  
Eberhard Bodenschatz
Keyword(s):  
Quantitative Study ◽  
Particle Tracking ◽  
Three Dimensional ◽  
Lagrangian Particle Tracking ◽  
Lagrangian Particle ◽  
Tracking Algorithms

scholarly journals First challenge on Lagrangian Particle Tracking and Data Assimilation: datasets description and planned evolution to an open online benchmark

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Benjamin Leclaire ◽  
Ivan Mary ◽  
Cédric Liauzun ◽  
Stéphanie Péron ◽  
Andrea Sciacchitano ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Particle Tracking ◽  
Measurement Techniques ◽  
Three Dimensional ◽  
Fluid Flows ◽  
Lagrangian Particle Tracking ◽  
Lagrangian Particle ◽  
Pressure Fields ◽  
Significant Research

In the last decade, Lagrangian Particle Tracking (LPT) has emerged as one of the leading measurement techniques for the quantitative determination of fluid flows in three-dimensional domains (see e.g. Schanz et al., 2016), due to its accuracy in reconstructing particles velocities and material accelerations. Due to the scattered nature of the obtained result, at the particles positions only, significant research efforts have also been placed in the development of dedicated Data Assimilation (DA) techniques, aiming at finally reconstructing full 3D velocity and pressure fields on regular Cartesian grids (see, e.g., Schneiders et al. 2016).

scholarly journals Comparison of Observed and Modeled Drifter Trajectories in Coastal Regions: An Improvement through Adjustments for Observed Drifter Slip and Errors in Wind Fields

2006 ◽  
Vol 23 (11) ◽  
pp. 1614-1620 ◽  
Author(s):  
K. P. Edwards ◽  
F. E. Werner ◽  
B. O. Blanton
Keyword(s):  
Particle Tracking ◽  
Three Dimensional ◽  
Circulation Model ◽  
Separation Distance ◽  
Water Velocity ◽  
Lagrangian Particle Tracking ◽  
Wind Fields ◽  
3D Numerical Modeling ◽  
Lagrangian Particle ◽  
The Difference

Abstract Lagrangian particle tracking using three-dimensional (3D) numerical modeling approaches has become an important tool in coastal oceanography. In this note, an approach is described that can reduce the difference between observed and numerical drifter trajectories in the coastal ocean by including corrections to the water velocity due to differences between observed winds and the wind field used to drive the 3D circulation model and some specific characteristics of the observed drifters in the algorithm that estimate the numerical trajectory. Quantitative improvements are obtained whereby the separation distance between the numerical and observed drifters is almost halved (in this particular field case from 2.6 to 1.4 km day−1).

scholarly journals Volumetric Lagrangian particle tracking measurements of jet impingement on convex cylinder

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Mirae Kim ◽  
Daniel Schanz ◽  
Matteo Novara ◽  
Andreas Schröder ◽  
Kyung Chun Kim
Keyword(s):  
Particle Tracking ◽  
Flat Surface ◽  
Three Dimensional ◽  
Jet Impingement ◽  
Impinging Jets ◽  
Cylinder Surface ◽  
Lagrangian Particle Tracking ◽  
Lagrangian Particle ◽  
Three Dimensional Flow ◽  
Mechanical Parts

Impinging jets are widely used for heat and mass transfer because they are applicable to any type of body and can be easily implemented. They are also used in various industrial fields and design techniques. Previous research investigated e.g. a jet impinging onto a flat surface. However, since most of the mechanical parts have curvature on their surface, it is necessary to study more detailed properties of the jet impinging on a curved surface using advanced measurements. Therefore, in this study, three-dimensional flow structures of a round jet impinging on a convex cylinder surface were measured using volumetric Lagrangian particle tracking (LPT).

scholarly journals 3D Lagrangian particle tracking of a subsonic jet using multi-pulse Shake-The-Box

2021 ◽  
Vol 123 ◽  
pp. 110346
Author(s):  
Peter Manovski ◽  
Matteo Novara ◽  
Nagendra Karthik Depuru Mohan ◽  
Reinhard Geisler ◽  
Daniel Schanz ◽  
...  
Keyword(s):  
Particle Tracking ◽  
Lagrangian Particle Tracking ◽  
Lagrangian Particle ◽  
Subsonic Jet
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