Investigation of nonlocal data-driven methods for subgrid-scale stress modeling in large eddy simulation
A nonlocal subgrid-scale stress (SGS) model is developed based on the convolution neural network (CNN), which is a powerful supervised data-driven method and also an ideal approach to naturally consider spatial information due to its wide receptive field. The CNN-based models used in this study take...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2022-06-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0094316 |