A semi-implicit discrepancy model of Reynolds stress in a higher-order tensor basis framework for Reynolds-averaged Navier–Stokes simulations
With the rapid development of artificial intelligence, machine learning algorithms are becoming more widely applied in the modification of turbulence models. In this paper, with the aim of improving the prediction accuracy of the Reynolds-averaged Navier–Stokes (RANS) model, a semi-implicit treatmen...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2021-04-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0033109 |