Hairpin Vortices Extraction in Turbulent Boundary Layer Flows
For researchers studying turbulent flows, this method provides a more accurate and efficient way to extract hairpin vortices, which are critical for understanding energy dissipation and mixing in boundary layers.
This paper introduces a novel framework for extracting hairpin vortices from turbulent boundary layers, using merge tree segmentation and a bottom-up rejoining approach. The method eliminates manual parameter tuning, reduces segmentation errors, and improves accuracy and computational efficiency compared to existing approaches.
Hairpin vortices are fundamental structures within turbulent boundary layers, playing a crucial role in energy dissipation, mixing, and momentum transport. However, accurately extracting these structures remains challenging due to their irregular shapes, varying scales, and entanglement with surrounding vortical structures. This paper presents a novel framework for the extraction of hairpin vortices from turbulent boundary layers. The method begins by identifying vortical regions and decomposing them into smaller segments using merge tree based segmentation. A novel bottom up rejoining approach is then introduced to group candidate segments according to the geometric and physical characteristics of hairpin vortices, resulting in regions that encompass complete hairpin vortex structures. These regions are subsequently refined and validated through skeleton analysis to detect the characteristic hairpin shape and are further confirmed using additional scalar based criteria. Finally, smooth enclosing surfaces are generated for effective visualization. To enable quantitative evaluation, reference hairpin vortices are extracted from several flow datasets and used as ground truth. Compared with existing approaches, the proposed method eliminates manual parameter tuning, reduces under and over segmentation, and significantly improves both accuracy and computational efficiency. Demonstrations on multiple turbulent flow cases show that the method is robust and effective for hairpin vortex extraction under varying boundary layer conditions.