Extract and Characterize Hairpin Vortices in Turbulent Flows
Adeel Zafar, Di Yang, Guoning Chen

TL;DR
This paper presents a novel framework for extracting and characterizing hairpin vortices in turbulent flows, enabling detailed analysis of their structure, orientation, and physical properties through hierarchical and interactive visualization methods.
Contribution
The work introduces a new hierarchical extraction method for hairpin vortices using vortex criteria and iso-surfaces, along with an interactive system for analysis and classification.
Findings
Effective separation of entangled vortices
Identification of hairpin vortices based on shape and orientation
Application to various flow types demonstrates versatility
Abstract
Hairpin vortices are one of the most important vortical structures in turbulent flows. Extracting and characterizing hairpin vortices provides useful insight into many behaviors in turbulent flows. However, hairpin vortices have complex configurations and might be entangled with other vortices, making their extraction difficult. In this work, we introduce a framework to extract and separate hairpin vortices in shear driven turbulent flows for their study. Our method first extracts general vortical regions with a region-growing strategy based on certain vortex criteria (e.g., ) and then separates those vortices with the help of progressive extraction of () iso-surfaces in a top-down fashion. This leads to a hierarchical tree representing the spatial proximity and merging relation of vortices. After separating individual vortices, their shape and orientation…
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · Music Technology and Sound Studies · Time Series Analysis and Forecasting
