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High-order projection-based upwind method for simulation of transitional turbulent flows

Philip L. Lederer, Xaver Mooslechner, Joachim Schöberl

TL;DR

The paper develops a scalable, high-order implicit large-eddy simulation (ILES) framework for incompressible transitional flows using a mass-conserving mixed stress (MCS) discretization and a projection-based operator-splitting strategy. It introduces high-order projection-based upwind (HOPU) stabilization to selectively dissipate only the high-frequency, small-scale content, preserving large-scale transition dynamics. Through Eppler 387 wing benchmarks at Reynolds numbers up to $3 \cdot 10^5$, the authors demonstrate accurate prediction of transition and boundary-layer characteristics, with HOPU providing improved near-wall profiles while maintaining good agreement in pressure, lift, and drag compared to experimental data. The work delivers a parallel, DG-based solver with a robust preconditioned CG strategy and adaptive dissipation control that is suitable for under-resolved turbulence and transitional aerodynamic studies, with future work targeting adaptive schemes and fully turbulent, high-Re flows.

Abstract

We present a scalable, high-order implicit large-eddy simulation (ILES) approach for incompressible transitional flows. This method employs the mass-conserving mixed stress (MCS) method for discretizing the Navier-Stokes equations. The MCS method's low dissipation characteristics, combined with the introduced operator-splitting solution technique, result in a high-order solver optimized for efficient and parallel computation of under-resolved turbulent flows. We further enhance the inherent capabilities of the ILES model by incorporating high-order upwind fluxes and are examining its approximation behaviour in transitional aerodynamic flow problems. In this study, we use flows over the Eppler 387 airfoil at Reynolds numbers up to $3 \cdot 10^5$ as benchmarks for our simulations.

High-order projection-based upwind method for simulation of transitional turbulent flows

TL;DR

The paper develops a scalable, high-order implicit large-eddy simulation (ILES) framework for incompressible transitional flows using a mass-conserving mixed stress (MCS) discretization and a projection-based operator-splitting strategy. It introduces high-order projection-based upwind (HOPU) stabilization to selectively dissipate only the high-frequency, small-scale content, preserving large-scale transition dynamics. Through Eppler 387 wing benchmarks at Reynolds numbers up to , the authors demonstrate accurate prediction of transition and boundary-layer characteristics, with HOPU providing improved near-wall profiles while maintaining good agreement in pressure, lift, and drag compared to experimental data. The work delivers a parallel, DG-based solver with a robust preconditioned CG strategy and adaptive dissipation control that is suitable for under-resolved turbulence and transitional aerodynamic studies, with future work targeting adaptive schemes and fully turbulent, high-Re flows.

Abstract

We present a scalable, high-order implicit large-eddy simulation (ILES) approach for incompressible transitional flows. This method employs the mass-conserving mixed stress (MCS) method for discretizing the Navier-Stokes equations. The MCS method's low dissipation characteristics, combined with the introduced operator-splitting solution technique, result in a high-order solver optimized for efficient and parallel computation of under-resolved turbulent flows. We further enhance the inherent capabilities of the ILES model by incorporating high-order upwind fluxes and are examining its approximation behaviour in transitional aerodynamic flow problems. In this study, we use flows over the Eppler 387 airfoil at Reynolds numbers up to as benchmarks for our simulations.
Paper Structure (16 sections, 42 equations, 10 figures, 2 tables)

This paper contains 16 sections, 42 equations, 10 figures, 2 tables.

Figures (10)

  • Figure 1: Illustration for $\mathcal{X}_h$ (left): Local basis functions (green circles) on two elements and the normal continuous (blue arrows) and tangential continuous (orange arrows) edge basis functions on the common edge. Illustration for $\mathcal{X}^{BDDC}_h$ (right): The normal/tangential continuous basis functions where "broken" in two parts. The solid arrows are associated to the left element, and the dashed ones to the right element. The operator $R$ averages the coefficients of corresponding solid and dashed basis functions.
  • Figure 2: (a) computational mesh, (b) curved boundary elements.
  • Figure 3: Mode of local polynomial order $l_{loc}$ located in the middle point of its respective facet for (a) $R1/\alpha 10$ and (b) $R3/\alpha 4$.
  • Figure 4: Distribution of the pressure coefficient $\overline{c_p}$ over the Eppler 387 airfoil for (a) $R1/\alpha 10$ and (b) $R3/\alpha 4$ case.
  • Figure 5: Instantaneous velocity magnitude $|\underline{u}|/U_{\infty}$ field at given point in time for (a) $R1/\alpha 10$ and (b) $R3/\alpha 4$.
  • ...and 5 more figures

Theorems & Definitions (2)

  • remark 1
  • remark 2