Abstract
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.
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