Quantification of uncertainties in turbulence modeling: A comparison of physics-based and random matrix theoretic approaches

JX Wang, R Sun, H Xiao - International Journal of Heat and Fluid Flow, 2016 - Elsevier
Numerical models based on Reynolds-Averaged Navier-Stokes (RANS) equations are
widely used in engineering turbulence modeling. However, the RANS predictions have …

Quantification of uncertainties in turbulence modeling: A comparison of physics-based and random matrix theoretic approaches

JX Wang, R Sun, H Xiao - International Journal of Heat and Fluid Flow, 2016 - infona.pl
Numerical models based on Reynolds-Averaged Navier-Stokes (RANS) equations are
widely used in engineering turbulence modeling. However, the RANS predictions have …

Quantification of Uncertainties in Turbulence Modeling: A Comparison of Physics-Based and Random Matrix Theoretic Approaches

JX Wang, R Sun, H Xiao - arXiv preprint arXiv:1603.05549, 2016 - arxiv.org
Numerical models based on Reynolds-Averaged Navier-Stokes (RANS) equations are
widely used in engineering turbulence modeling. However, the RANS predictions have …

Quantification of uncertainties in turbulence modeling: A comparison of physics-based and random matrix theoretic approaches

JX Wang, R Sun, H Xiao - … Journal of Heat and Fluid Flow, 2016 - ui.adsabs.harvard.edu
Numerical models based on Reynolds-Averaged Navier-Stokes (RANS) equations are
widely used in engineering turbulence modeling. However, the RANS predictions have …

[PDF][PDF] Quantification of Uncertainties in Turbulence Modeling: A Comparison of Physics-Based and Random Matrix Theoretic Approaches

JX Wang, R Sun, H Xiao - arXiv preprint arXiv:1603.05549, 2016 - researchgate.net
Numerical models based on Reynolds-Averaged Navier-Stokes (RANS) equations are
widely used in engineering turbulence modeling. However, the RANS predictions have …

Quantification of uncertainties in turbulence modeling: A comparison of physics-based and random matrix theoretic approaches

JX Wang, R Sun, H Xiao - International Journal of Heat and Fluid Flow, 2016 - inis.iaea.org
[en] Highlights:• Compared physics-based and random matrix methods to quantify RANS
model uncertainty.• Demonstrated applications of both methods in channel ow over periodic …

[引用][C] Quantification of uncertainties in turbulence modeling: A comparison of physics-based and random matrix theoretic approaches

JX Wang, R Sun, H Xiao - International Journal of Heat and Fluid Flow, 2016 - cir.nii.ac.jp
Quantification of uncertainties in turbulence modeling: A comparison of physics-based and
random matrix theoretic approaches | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …

Quantification of Uncertainties in Turbulence Modeling: A Comparison of Physics-Based and Random Matrix Theoretic Approaches

JX Wang, R Sun, H Xiao - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
Numerical models based on Reynolds-Averaged Navier-Stokes (RANS) equations are
widely used in engineering turbulence modeling. However, the RANS predictions have …

[PDF][PDF] Quantification of Uncertainties in Turbulence Modeling: A Comparison of Physics-Based and Random Matrix Theoretic Approaches

JX Wang, R Sun, H Xiao - researchgate.net
Numerical models based on Reynolds-Averaged Navier-Stokes (RANS) equations are
widely used in engineering turbulence modeling. However, the RANS predictions have …