Using field inversion to quantify functional errors in turbulence closures

@inproceedings{Singh2016UsingFI,
  title={Using field inversion to quantify functional errors in turbulence closures},
  author={Anand Pratap Singh and Karthik Duraisamy},
  year={2016}
}
A data–informed approach is presented with the objective of quantifying errors and uncertainties in the functional forms of turbulence closure models. The approach creates modeling information from higher-fidelity simulations and experimental data. Specifically, a Bayesian formalism is adopted to infer discrepancies in the source terms of transport equations. A key enabling idea is the transformation of the functional inversion procedure (which is inherently infinite-dimensional) into a finite… CONTINUE READING

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