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A Priori Assessment of Prediction Confidence for Data-Driven Turbulence Modeling
Jin-Long Wu, Jian-Xun Wang, Heng Xiao +1
Although Reynolds-Averaged Navier-Stokes (RANS) equations are still the dominant tool for engineering design and analysis applications involving turbulent flows, standard RANS mode…
Are Discrepancies in RANS Modeled Reynolds Stresses Random?
Heng Xiao, Jin-Long Wu, Jian-xun Wang +1
In the turbulence modeling community, significant efforts have been made to quantify the uncertainties in the Reynolds-Averaged Navier--Stokes (RANS) models and to improve their pr…
A Physics Informed Machine Learning Approach for Reconstructing Reynolds Stress Modeling Discrepancies Based on DNS Data
Jian-Xun Wang, Jin-Long Wu, Heng Xiao
Turbulence modeling is a critical component in numerical simulations of industrial flows based on Reynolds-averaged Navier-Stokes (RANS) equations. However, after decades of effort…
Quantifying Model Form Uncertainty in RANS Simulation of Wing-Body Junction Flow
Jin-Long Wu, Jian-Xun Wang, Heng Xiao
Wing-body junction flows occur when a boundary layer encounters an airfoil mounted on the surface. The corner flow near the trailing edge is challenging for the linear eddy viscosi…
A Random Matrix Approach for Quantifying Model-Form Uncertainties in Turbulence Modeling
Heng Xiao, Jian-Xun Wang, Roger G. Ghanem
With the ever-increasing use of Reynolds-Averaged Navier--Stokes (RANS) simulations in mission-critical applications, the quantification of model-form uncertainty in RANS models ha…
Data-Driven CFD Modeling of Turbulent Flows Through Complex Structures
Jian-Xun Wang, Heng Xiao
The growth of computational resources in the past decades has expanded the application of Computational Fluid Dynamics (CFD) from the traditional fields of aerodynamics and hydrody…
Quantification of Uncertainties in Turbulence Modeling: A Comparison of Physics-Based and Random Matrix Theoretic Approaches
Jian-Xun Wang, Rui Sun, Heng Xiao
Numerical models based on Reynolds-Averaged Navier-Stokes (RANS) equations are widely used in engineering turbulence modeling. However, the RANS predictions have large model-form u…
TSUFLIND-EnKF inversion model applied to tsunami deposits for estimation of transient flow depth and speed with quantified uncertainties
Hui Tang, Jianxun Wang, Robert Weiss +1
Tsunami deposits are recordings of tsunami events that contain information about flow conditions. Deciphering quantitative information from tsunami deposits is especially important…