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A thermodynamics-based turbulence model for isothermal compressible flows

Zhiting Ma, Wen-An Yong, Yi Zhu

TL;DR

Addresses turbulence modeling for isothermal compressible flows by deriving a thermodynamically consistent, hyperbolic closure via Favre averaging and Conservation-Dissipation Formalism (CDF). Introduces entropy-based closures with non-equilibrium variables, yielding a closed first-order system that is compatible with Prandtl's one-equation model in the low Mach regime, and shows that the low-Mach limit recovers an incompressible Reynolds-averaged Navier–Stokes system coupled to Prandtl's equation. A scaling analysis and rigorous justification demonstrate convergence of the rescaled hyperbolic system to the incompressible limit as $\varepsilon \to 0$, with error bounds $\|\mathbf{E}\|_s \le C \varepsilon$. The resulting framework provides a causality-respecting, thermodynamically consistent, hyperbolic closure for compressible turbulence that is amenable to efficient numerical discretization.

Abstract

This study presents a new turbulence model for isothermal compressible flows. The model is derived by combining the Favre averaging and the Conservation-dissipation formalism -- a newly developed thermodynamics theory. The latter provides a systematic methodology to construct closure relations that intrinsically satisfy the first and second laws of thermodynamics. The new model is a hyperbolic system of first-order partial differential equations. It has a number of numerical advantages, and addresses some drawbacks of classical turbulence models by resolving the non-physical infinite information propagation paradox of the parabolic-type models and accurately capturing the interaction between compressibility and turbulence dissipation. Furthermore, we show the compatibility of the proposed model with Prandtl's one-equation model for incompressible flows by deliberately rescaling the model and studying its low Mach number limit.

A thermodynamics-based turbulence model for isothermal compressible flows

TL;DR

Addresses turbulence modeling for isothermal compressible flows by deriving a thermodynamically consistent, hyperbolic closure via Favre averaging and Conservation-Dissipation Formalism (CDF). Introduces entropy-based closures with non-equilibrium variables, yielding a closed first-order system that is compatible with Prandtl's one-equation model in the low Mach regime, and shows that the low-Mach limit recovers an incompressible Reynolds-averaged Navier–Stokes system coupled to Prandtl's equation. A scaling analysis and rigorous justification demonstrate convergence of the rescaled hyperbolic system to the incompressible limit as , with error bounds . The resulting framework provides a causality-respecting, thermodynamically consistent, hyperbolic closure for compressible turbulence that is amenable to efficient numerical discretization.

Abstract

This study presents a new turbulence model for isothermal compressible flows. The model is derived by combining the Favre averaging and the Conservation-dissipation formalism -- a newly developed thermodynamics theory. The latter provides a systematic methodology to construct closure relations that intrinsically satisfy the first and second laws of thermodynamics. The new model is a hyperbolic system of first-order partial differential equations. It has a number of numerical advantages, and addresses some drawbacks of classical turbulence models by resolving the non-physical infinite information propagation paradox of the parabolic-type models and accurately capturing the interaction between compressibility and turbulence dissipation. Furthermore, we show the compatibility of the proposed model with Prandtl's one-equation model for incompressible flows by deliberately rescaling the model and studying its low Mach number limit.

Paper Structure

This paper contains 6 sections, 1 theorem, 104 equations.

Key Result

Theorem 6.2

Let $s>3/2+1$ be an integer. Suppose initial data $\bm{U}_0(x,\varepsilon)=(\phi_0(x, \varepsilon), \bm{u}_0(x, \varepsilon), \bm{\sigma}_0(x, \varepsilon), k_0(x, \varepsilon), \bm{y}_0(x, \varepsilon))$ belong to $H^s$ and satisfy Let $(\bm{u}, ~\pi, ~k)$ be the smooth solution to system equ:rans-prandtl-one with initial data $\bm{w}(x, 0)=\bm{u}_0(x)$, $k(x, 0)=k_0(x)$ on $[0, T_\star]\times G

Theorems & Definitions (2)

  • Theorem 6.2
  • proof