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Uncertainty Quantification of Turbulence Model Coefficients via Latin Hypercube Sampling Method
5 references·5 citing·33 second hop
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this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 1981An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment584 cited

Cited by

  • 2017Efficient uncertainty quantification of stochastic CFD problems using sparse polynomial chaos and compressed sensing43 cited
  • 2019Multifidelity probability estimation via fusion of estimators27 cited
  • 2019Multifidelity Uncertainty Quantification with Applications in Wind Turbine Aerodynamics16 cited
  • 2017Multidimensional quantification of uncertainty and application to a turbulent mixing model11 cited
  • 2021Novel Kriging-Based Decomposed-Coordinated Approach for Estimating the Clearance Reliability of Assembled Structures10 cited

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