A new hybrid turbulence modelling strategy for industrial CFD

By B. Basara, S. Jakirlic. 2003

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Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework (2017, methodology): “To enhance the stabilities, Jarklic and co-workers [23, 24] blended τ RSM obtained from solving the Reynolds stress transport equation with that given by a linear eddy viscosity model (LEVM), i.e., τ = α τ RSM + (1 − α ) τ LEM .”
Reynolds-averaged Navier–Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned (2018, unknown): “When the Reynolds stress term is treated implicitly as in many practical implementations of Reynolds stress models (e.g., Basara & Jakirlic 2003; Maduta & Jakirlic 2017), the corresponding local condition number of the model can be obtained similarly, except that the Green’s function is modified to…”