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Bayesian uncertainty quantification applied to RANS turbulence models
1 references·13 citing·44 second hop
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References

  • 2011Bayesian uncertainty analysis with applications to turbulence modeling267 cited

Cited by

  • 2021Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments73 cited
  • 2020Embedded Model Error Representation for Bayesian Model Calibration59 cited
  • 2016A hybrid anchored-ANOVA – POD/Kriging method for uncertainty quantification in unsteady high-fidelity CFD simulations51 cited
  • 2016Aerodynamic shape optimization for minimum robust drag and lift reliability constraint45 cited
  • 2019An efficient approach for quantifying parameter uncertainty in the SST turbulence model45 cited
  • 2017Efficient uncertainty quantification of stochastic CFD problems using sparse polynomial chaos and compressed sensing43 cited
  • 2017An efficient Bayesian uncertainty quantification approach with application to k-ω-γ transition modeling36 cited
  • 2020Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes35 cited
  • 2015Bayesian uncertainty quantification of turbulence models based on high-order adjoint32 cited
  • 2019Physics-informed covariance kernel for model-form uncertainty quantification with application to turbulent flows22 cited
  • 2018Calibration and Uncertainty Quantification of VISTA Ablator Material Database Using Bayesian Inference15 cited
  • 2023

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Quantification and propagation of Aleatoric uncertainties in topological structures
11 cited
  • 2015Bayesian Calibration of a RANS Model with a Complex Response Surface - A Case Study with Jet-in-Crossflow Configuration10 cited