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Enhancing RANS turbulence modeling for rectangular cylinders using data assimilation and machine learning
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AI
DOI：10.1016/j.compfluid.2026.107121.png)
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Abstract
En 中文
• Enhanced RANS solutions via machine learning and data assimilation. • Interpretable physics-based correction field driven by local features. • Extensive sensitivity analysis to optimize model features. • Importance of assimilating also on pressure. • Valid flow prediction compared with LES data even with limited dataset size.
Keywords:
RANS turbulence modeling
machine learning
data assimilation
rectangular cylinders
flow prediction
Journal
C
IF:
3
Papers:
168
Citations:
0