Annual Review of Fluid Mechanics· 2018Q1· Review
Turbulence Modeling in the Age of Data
- 1,450citations
- Q1SCImago
- 2018year
Short summary
Data-driven approaches, leveraging foundational knowledge and physical constraints, are yielding improved predictive turbulence models by systematically informing Reynolds-averaged Navier–Stokes (RANS) equations with experimental and simulation data.
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Statistical and Nonlinear PhysicsPhysics and Astronomy