Identification of hydrodynamic instability by convolutional neural networks

2 Jun 2020 Wuyue Yang Liangrong Peng Yi Zhu Liu Hong

The onset of hydrodynamic instabilities is of great importance in both industry and daily life, due to the dramatic mechanical and thermodynamic changes for different types of flow motions. In this paper, modern machine learning techniques, especially the convolutional neural networks (CNN), are applied to identify the transition between different flow motions raised by hydrodynamic instability, as well as critical non-dimensionalized parameters for characterizing this transit... (read more)

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