Turbulence Modeling in the Age of Data

@article{Duraisamy2019TurbulenceMI,
  title={Turbulence Modeling in the Age of Data},
  author={Karthik Duraisamy and Gianluca Iaccarino and Heng Xiao},
  journal={Annual Review of Fluid Mechanics},
  year={2019}
}
Data from experiments and direct simulations of turbulence have historically been used to calibrate simple engineering models such as those based on the Reynolds-averaged Navier–Stokes (RANS) equations. In the past few years, with the availability of large and diverse data sets, researchers have begun to explore methods to systematically inform turbulence models with data, with the goal of quantifying and reducing model uncertainties. This review surveys recent developments in bounding… 

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