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Bayesian uncertainty analysis with applications to turbulence modeling
3 references·16 citing·36 second hop
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this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2007A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data1,396 cited
  • 1990Scientific reasoning: the Bayesian approach1,245 cited

Cited by

  • 2014Stochastic finite element methods for partial differential equations with random input data218 cited
  • 2015On the Statistical Calibration of Physical Models138 cited
  • 2011Bayesian uncertainty quantification applied to RANS turbulence models132 cited
  • 2016Uncertainty Quantification of Turbulence Model Closure Coefficients for Transonic Wall-Bounded Flows120 cited
  • 2019Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications94 cited
  • 2012The Parallel C++ Statistical Library ‘QUESO’: Quantification of Uncertainty for Estimation, Simulation and Optimization69 cited
  • 2014A computational framework for dynamic data‐driven material damage control, based on Bayesian inference and model selection45 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
  • 2018Representing Model Inadequacy: A Stochastic Operator Approach42 cited
  • 2017

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An efficient Bayesian uncertainty quantification approach with application to k-ω-γ transition modeling
36 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
  • 2014AN OVERVIEW OF NONINTRUSIVE CHARACTERIZATION, PROPAGATION, AND SENSITIVITY ANALYSIS OF UNCERTAINTIES IN COMPUTATIONAL MECHANICS31 cited
  • 2022Adaptive Model Refinement Approach for Bayesian Uncertainty Quantification in Turbulence Model25 cited
  • 2015A MIXED UNCERTAINTY QUANTIFICATION APPROACH USING EVIDENCE THEORY AND STOCHASTIC EXPANSIONS25 cited