A fuzzy cluster method for turbulent/non-turbulent interface detection

A turbulent/non-turbulent interface detection method is proposed based on fuzzy clustering of the instantaneous streamwise velocity field. The fuzzy cluster method overcomes the limitations of standard detection methods by removing the user bias in thresholding and window selection and not relying on the calculation of mean flow properties. The robust detection algorithm is applied to three experimental wall-bounded turbulent flows, and it is found to compare favorably against existing interface identification methods.

Automated summary

A method for detecting turbulent/non-turbulent interface based on fuzzy clustering of the instantaneous streamwise velocity field is proposed, overcoming the limitations of standard detection methods and showing favorable comparison with existing interface identification methods when applied to experimental wall-bounded turbulent flows.