A robust methodology for the detection of turbulent/non-turbulent interfaces in temporally evolving turbulent flows

Abstract A new interface detection technique is proposed to identify turbulent/non-turbulent interfaces (TNTIs) in temporally-evolving flows, and its efficiency in comparison to existing techniques is assessed for two fundamentally different test cases. The first consisted of a temporally-evolving cylinder wake, and the second a decaying stream of grid-turbulence. The turbulent flows were marked with a high Schmidt number dye and combined PIV/PLIF experiments were performed. The TNTIs were identified using PLIF image intensity and intensity-gradient based methods. Since the bulk concentration decayed with time, a time dependent normalisation of the images had to be performed in all methods. A novel intensity-based method was proposed where the intensity field was transformed using a combination of pixel-based intensity and the corresponding cross-stream, y, location. The efficacy of the different methods were compared using metrics such as total enstrophy contained within the interface and enstrophy gradient along the interface. The new intensity-based method showed a superior performance as it captured both high total enstrophy and enstrophy gradient.

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Publication Details

Journal
Research Square
Published
2026-11-06
DOI
https://doi.org/10.21203/rs.3.rs-11459188/v1
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
preprint

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preprint

A robust methodology for the detection of turbulent/non-turbulent interfaces in temporally evolving turbulent flows

Neelakash Biswas, O. R. H. Buxton, Jiangang Chen
2 links
Research Square
Fluid Dynamics and Turbulent Flows
preprint

A robust methodology for the detection of turbulent/non-turbulent interfaces in temporally evolving turbulent flows

Neelakash Biswas, O. R. H. Buxton, Jiangang Chen
preprint en

Abstract

Abstract A new interface detection technique is proposed to identify turbulent/non-turbulent interfaces (TNTIs) in temporally-evolving flows, and its efficiency in comparison to existing techniques is assessed for two fundamentally different test cases. The first consisted of a temporally-evolving cylinder wake, and the second a decaying stream of grid-turbulence. The turbulent flows were marked with a high Schmidt number dye and combined PIV/PLIF experiments were performed. The TNTIs were identified using PLIF image intensity and intensity-gradient based methods. Since the bulk concentration decayed with time, a time dependent normalisation of the images had to be performed in all methods. A novel intensity-based method was proposed where the intensity field was transformed using a combination of pixel-based intensity and the corresponding cross-stream, y, location. The efficacy of the different methods were compared using metrics such as total enstrophy contained within the interface and enstrophy gradient along the interface. The new intensity-based method showed a superior performance as it captured both high total enstrophy and enstrophy gradient.

Research Square
Imperial College London (GB)
UK Research and Innovation, Imperial College London, Engineering and Physical Sciences Research Council
Fluid Dynamics and Turbulent Flows
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