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Updated: Jun 14, 2026

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
Published on: March 12, 2019
Sensitivity of Lagrangian coherent structure identification to flow field resolution and random errors
Ali B Olcay1, Tait S Pottebaum, Paul S Krueger
1Department of General Engineering, University of Wisconsin, Platteville, 1 University Plaza, Platteville, Wisconsin 53818, USA.
Random errors and reduced resolution significantly impact Lagrangian coherent structures (LCSs) identification. Even low noise levels can distort LCSs, affecting flow analysis accuracy.
Area of Science:
- Fluid dynamics
- Computational fluid dynamics
- Flow visualization
Background:
- Lagrangian coherent structures (LCSs) are crucial for understanding fluid transport.
- Eulerian velocity fields are commonly used to identify LCSs.
- Flow measurement techniques can introduce spatial, temporal, and random errors.
Purpose of the Study:
- To evaluate the impact of spatial/temporal resolution and random errors on LCS identification.
- To assess the accuracy of LCSs derived from degraded Eulerian velocity fields.
- To understand how common flow measurement errors affect LCS analysis.
Main Methods:
- Canonical flows (2D vortex pair, vortex ring) were used.
- Flow fields were degraded by smoothing, coarser grids, random noise, and time subsampling.
- Degradation methods mimicked digital particle image velocimetry (DPIV) errors.
- Identified LCSs were compared to true LCSs from analytical or high-fidelity simulations.
Main Results:
- Noise levels of 5%-10% caused significant random deviations in LCS (separatrix) location.
- Mean LCS location remained relatively accurate despite noise.
- Spatial and temporal resolution degradations primarily affected transient flow regions with strong gradients.
- Deviations were observed even with high spatial resolution (2% of jet diameter).
Conclusions:
- Flow measurement errors significantly impact LCS accuracy.
- Careful consideration of resolution and noise is vital for reliable LCS identification.
- The study provides insights into the robustness of LCS analysis under realistic measurement conditions.
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