Correlation Analysis among Vorticity, Q method and Liutex
Yifei Yu1, Pushpa Shrestha, Oscar Alvarez, Charles Nottage, Chaoqun, Liu

TL;DR
This paper compares various vortex detection methods, including vorticity, Q, Lambda ci, Lambda 2, and Liutex, revealing that vorticity alone is insufficient for accurate vortex identification and highlighting Liutex's advantages.
Contribution
The study provides a correlation analysis among multiple vortex detection methods, emphasizing Liutex's physical meaning and superiority over traditional vorticity-based approaches.
Findings
Vorticity has minimal correlation with Liutex in strong shear regions.
Vorticity alone is inadequate for vortex detection.
Liutex overcomes limitations of previous methods and has clear physical significance.
Abstract
Influenced by the fact that vorticity represents rotation for rigid body, people believe it also works for fluid flow. However, the theoretical predictions by vorticity do not match experiment results, which drove scientists to look for better methods to describe vortex. According to Dr. Liu classification, all methods applied to detect vortex can be categorized into three generations. The vorticity-based method is classified as the first generation. Methods relying on eigenvalues of velocity gradient tensor are considered as the second generation. Although so many methods appeared, people still believe vorticity is vortex since vorticity theory looks perfect in math, and all other methods are only scalars and unable to indicate swirl direction. Recently, Dr. Liu innovated a new vortex identification method called Liutex. Liutex, a vector quantity, which is regarded as the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Heat Transfer Mechanisms · Plant Water Relations and Carbon Dynamics
