A novel method for unsteady flow field segmentation based on stochastic similarity of direction

Recent developments in fluid dynamics research have opened up the possibility for the detailed quantitative understanding of unsteady flow fields. However, the visualization techniques currently in use generally provide only qualitative insights. A method for dividing the flow field into physically...

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Bibliographic Details
Main Authors: Noriyasu Omata, Susumu Shirayama
Format: Article
Language:English
Published: AIP Publishing LLC 2018-04-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.5026152