A priori assessment of nonlocal data-driven wall modeling in large eddy simulation
In the present study, a priori assessment is performed on the ability of the convolutional neural network (CNN) for wall-modeling in large eddy simulation. The data used for the training process are provided by the direct numerical simulation (DNS) of the turbulent channel flow. Initially, a study i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
American Institute of Physics Inc.
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |