Wall Modelling for Implicit Large Eddy Simulation of Favourable and Adverse Pressure Gradient Flows

Chen, Zhenli; Devesa, Antoine; Meyer, Michaël; Lauer, Eric; Hickel, Stefan; Stemmer, Christian; Adams, Nikolaus A.

doi:10.1007/978-90-481-9603-6_35

Cited by 3 publications

(6 citation statements)

References 8 publications

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“…Combining BDIM with a local grid refinement technique [28] could improve computational efficiency for the thin shear layers of higher Reynolds number flows. The use of a wall-layer model [41,42,43] or tangential force model [20] to reduce the required near-wall resolution for very high Reynolds numbers is an active area of research. At higher Reynolds number, the interactions between wall-layer approximation and subgrid-scale model also need to be investigated in the context of immersed boundary as has been done by Temmerman [49] for body-fitted grids.…”

Section: Resultsmentioning

confidence: 99%

“…Using a finer grid in the cross-flow direction, it also provides good prediction of the skin friction and separation. If skin friction is of interest, local grid refinement [28] or a wall-model [41,42,43] can also be used instead of a global grid refinement in order to reduce the computational cost. However, in practice, IB methods are of interest to simulate moving boundaries, in which case the friction forces are much smaller than the pressure forces.…”

Section: Flow Around a Stationary Sd7003 Airfoilmentioning

confidence: 99%

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Accurate Cartesian-grid simulations of near-body flows at intermediate Reynolds numbers

Maertens

Weymouth

2015

Computer Methods in Applied Mechanics and Engineering

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An accurate Cartesian-grid treatment for intermediate Reynolds number fluid-solid interaction problems is described. We first identify the inability of existing immersed boundary methods to handle intermediate Reynolds number flows to be the discontinuity of the velocity gradient at the interface. We address this issue by generalizing the Boundary Data Immersion Method (BDIM, Weymouth and Yue, J. Comp. Phys., vol. 230, 2011), in which the field equations of each domain are combined analytically, through the addition of a higher order term to the integral formulation. The new method, featuring a second-order convolution, retains the desirable simplicity of direct forcing methods and smoothes the velocity field at the fluid-solid interface while removing its bias. This results in accurate flow predictions and pressure fields without spurious fluctuations, even at high Reynolds number where the method is second order in the L 2 norm. A treatment for sharp corners is also derived that significantly improves the flow predictions near the trailing edge of thin airfoils. The second-order BDIM is applied to unsteady problems relevant to ocean energy extraction as well as animal and vehicle locomotion for Reynolds numbers up to 10 5 .

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Section: Resultsmentioning

confidence: 99%

Section: Flow Around a Stationary Sd7003 Airfoilmentioning

confidence: 99%

Accurate Cartesian-grid simulations of near-body flows at intermediate Reynolds numbers

Maertens

Weymouth

2015

Computer Methods in Applied Mechanics and Engineering

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“…We note that the friction term in Eq. (13) can be extended in a straightforward way to include a wall model for turbulence [3].…”

Section: Friction Term Dmentioning

confidence: 99%

A conservative immersed interface method for Large-Eddy Simulation of incompressible flows

Meyer

Devesa

Hickel

et al. 2010

Journal of Computational Physics

112

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“…Wall boundary conditions are imposed with the second-order Conservative Immersed Interface Method (CIIM) 17 in connection with a Thin-Boundary-Layer-Equation (TBLE) based wall-model. 2 The coupling position between wall-model and LES is located in the logarithmic region of the boundary layer.…”

Section: B Computational Domain and Boundary Conditionsmentioning

confidence: 99%

“…1, exhibits a wide range of physical phenomena including highly unsteady flow dynamics in the cove of the slat (1), laminar-turbulent transition on the main wing (2), strong pressure gradients possibly leading to flow separation on the flap (3), and the confluence of boundary layers and wakes (4).…”

Section: Introductionmentioning

confidence: 99%

Wall-Modelled Implicit Large-Eddy Simulation of the RA16SC1 Highlift Configuration

Meyer

Hickel

Breitsamter

et al. 2013

31st AIAA Applied Aerodynamics Conference

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Industrially applied Computational Fluid Dynamics still faces a challenge when it comes to the accurate prediction of the complex flow over realistic highlift configurations. In this paper we demonstrate that the flow over the 3-element RA16SC1 highlift configuration can be efficiently and accurately predicted with Implicit Large-Eddy Simulation (ILES) on Cartesian adaptive grids. In ILES the truncation error of the numerical discretization itself functions as an implicit Sub-Grid Scale (SGS) model. To prove and enable industrial application of ILES, the underlying Cartesian grid of this simulation has been automatically generated and refined for resolving the relevant flow features. The wall-boundary condition is applied with a second-order Conservative Immersed Interface Method (CIIM). Efficiency is further increased by modeling near-wall turbulence based on the Thin-Boundary-Layer Equation (TBLE). The good agreement with the respective experimental results underlines the suitability of this CFD approach for industrial applications. Nomenclaturec Chord length, m C Coefficient d (Wall-)distance, m k Turbulent kinetic energy L, l Length, m n Number Re Reynolds number u Velocity in first coordinate direction, m/s v Velocity in second coordinate direction, m/s w Velocity in coordinate direction, m/s x First coordinate direction, m y Second coordinate direction, m z Third coordinate direction, m α Angle of attack, • ∆t Time, s ω Vorticity, 1/s · Mean value of a quantity · Fluctuation with respect to the mean value of a quantitỹ · Magnitude of a quantity Subscript ave Averaged

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Wall Modelling for Implicit Large Eddy Simulation of Favourable and Adverse Pressure Gradient Flows

Cited by 3 publications

References 8 publications

Accurate Cartesian-grid simulations of near-body flows at intermediate Reynolds numbers

Accurate Cartesian-grid simulations of near-body flows at intermediate Reynolds numbers

A conservative immersed interface method for Large-Eddy Simulation of incompressible flows

Wall-Modelled Implicit Large-Eddy Simulation of the RA16SC1 Highlift Configuration

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