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A robust intermittency equation formulation for transition modeling in Spalart-Allmaras simulations of airfoil flows across a wide range of Reynolds numbers

Valerio D'Alessandro, Matteo Falone, Luca Giammichele, Renato Ricci

TL;DR

This work addresses robust laminar-to-turbulent transition prediction in airfoil flows by coupling the Spalart–Allmaras turbulence model to local correlation–based transition frameworks ($\gamma$ and $\gamma$–$\widetilde{R}_{\theta,t}$) within RANS. It introduces a logarithmic reformulation of the intermittency equation ($\tilde{\gamma}=\log\gamma$) paired with an energy‑limiting bound and a gradient‑driven artificial viscosity to suppress nonphysical growth and Gibbs‑like pressure oscillations, achieving stable solutions across wide Reynolds numbers. Two‑equation ($\gamma$ and $\Ret$) and one‑equation ($\log\gamma$) transition variants are explored, including SA‑R1 (rotation correction) and SA‑SMP (strain‑modulated production), and a single‑equation approach with algebraic onset correlations; all show improved robustness and reasonable agreement with experimental/LES data when stabilization is applied. The methodology demonstrates practical robustness for industrial RANS workflows and suggests straightforward extensions to $k$–$\omega$ formulations and potential DES applications for stalled regimes. Overall, the proposed stabilization strategies enable stable, accurate transitional predictions for airfoils over a broad $\mathrm{Re}$ range, with clear guidance on model variants and artificial viscosity tuning.

Abstract

This paper introduces a new robust formulation for local correlation-based laminar-to-turbulent transition models. This mechanism is incorporated into Reynolds-Averaged Navier-Stokes (RANS) equations, coupled with the Spalart-Allmaras (SA) turbulence model, considering both $γ$ and $γ$-${\widetilde{\mathrm{Re}}_{θ,t}}$ transition frameworks. In this context, special attention is placed on numerical stabilization of the $γ$ transport equation, which is identified as the root cause of instabilities observed in both $γ$ and $γ$-${\widetilde{\mathrm{Re}}_{θ,t}}$ based models. To this end, the intermittency equation is reformulated in logarithmic form and further stabilized through an energy--based limiting to bound excessively high positive values. In order to suppress unphysical pressure oscillations in the transition region, a gradient-driven artificial viscosity is also introduced. Additionally, the SA equation is augmented with strain-rate modulated production and rotation correction terms. The presented approach has demonstrated consistent effectiveness and robustness in the simulation of flow fields around airfoils over a wide range of Reynolds numbers, making it suitable for practical aerodynamic design applications.

A robust intermittency equation formulation for transition modeling in Spalart-Allmaras simulations of airfoil flows across a wide range of Reynolds numbers

TL;DR

This work addresses robust laminar-to-turbulent transition prediction in airfoil flows by coupling the Spalart–Allmaras turbulence model to local correlation–based transition frameworks ( and ) within RANS. It introduces a logarithmic reformulation of the intermittency equation () paired with an energy‑limiting bound and a gradient‑driven artificial viscosity to suppress nonphysical growth and Gibbs‑like pressure oscillations, achieving stable solutions across wide Reynolds numbers. Two‑equation ( and ) and one‑equation () transition variants are explored, including SA‑R1 (rotation correction) and SA‑SMP (strain‑modulated production), and a single‑equation approach with algebraic onset correlations; all show improved robustness and reasonable agreement with experimental/LES data when stabilization is applied. The methodology demonstrates practical robustness for industrial RANS workflows and suggests straightforward extensions to formulations and potential DES applications for stalled regimes. Overall, the proposed stabilization strategies enable stable, accurate transitional predictions for airfoils over a broad range, with clear guidance on model variants and artificial viscosity tuning.

Abstract

This paper introduces a new robust formulation for local correlation-based laminar-to-turbulent transition models. This mechanism is incorporated into Reynolds-Averaged Navier-Stokes (RANS) equations, coupled with the Spalart-Allmaras (SA) turbulence model, considering both and - transition frameworks. In this context, special attention is placed on numerical stabilization of the transport equation, which is identified as the root cause of instabilities observed in both and - based models. To this end, the intermittency equation is reformulated in logarithmic form and further stabilized through an energy--based limiting to bound excessively high positive values. In order to suppress unphysical pressure oscillations in the transition region, a gradient-driven artificial viscosity is also introduced. Additionally, the SA equation is augmented with strain-rate modulated production and rotation correction terms. The presented approach has demonstrated consistent effectiveness and robustness in the simulation of flow fields around airfoils over a wide range of Reynolds numbers, making it suitable for practical aerodynamic design applications.

Paper Structure

This paper contains 20 sections, 42 equations, 33 figures.

Figures (33)

  • Figure 1: SD7003, $\mathrm{Re} = 6 \cdot 10^4$, $\alpha = 4^\circ$. Dimensionless pressure field, SA--R1 model.
  • Figure 2: SD7003, $\mathrm{Re} = 6 \cdot 10^4$, $\alpha = 4^\circ$. SA--R1 model. $\nu_t/\nu$ contour plot and streamlines.
  • Figure 3: SD7003, $\mathrm{Re} = 6 \cdot 10^4$, $\alpha = 4^\circ$. Pressure coefficient distribution.
  • Figure 4: SD7003, $\mathrm{Re} = 6 \cdot 10^4$, $\alpha = 8^\circ$. Pressure coefficient distribution, baseline models.
  • Figure 5: SD7003, $\mathrm{Re} = 6 \cdot 10^4$, $\alpha = 8^\circ$. Effect of artificial viscosity on pressure coefficient distribution, $\log \gamma$--$\Ret$--SA--R1.
  • ...and 28 more figures