• Corpus ID: 219179301

Identification of hydrodynamic instability by convolutional neural networks

@article{Yang2020IdentificationOH,
  title={Identification of hydrodynamic instability by convolutional neural networks},
  author={Wuyue Yang and Liangrong Peng and Yi Zhu and Liu Hong},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.01446}
}
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. CNN not only… 
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