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

Understand

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 uncertainties for many complex flows.
• Quantification of these large uncertainties originating from the modeled Reynolds stresses has attracted attention in turbulence modeling community.
• Recently, a physics-based Bayesian framework for quantifying model-form uncertainties has been proposed with successful applications to several flows.