Aerodynamics, computers and the environment

Tucker, Paul G.; DeBonis, James R.

doi:10.1098/rsta.2013.0331

Cited by 12 publications

(21 citation statements)

References 15 publications

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“…can be applied to (1) in order to recover the exact Navier-Stokes equation for quasi-incompressible flows in the limit of long-wavelength [26]. The pressure is thus given by p = c 2 s ρ and the kinematic viscosity is linked to the BGK relaxation parameter through…”

Section: Numerical Methods and Governing Equationsmentioning

confidence: 99%

“…On a boundary node the density ρ b and velocity u b are imposed. Therefore in order to be able to use this last equation one needs a way to compute Π (1) . This is achieved by using the fact that Q i is a symmetric tensor with respect to i which means that Q i = Q opp(i) , where…”

Section: Adaptation With the Regularized Methodsmentioning

confidence: 99%

“…However there is some evidence that this formalism is not accurate enough, especially when a description of timedependent turbulent flows is desired (high incidence angle, laminar-to-turbulent transition, etc.) [1]. With the increase in computing power, Large Eddy Simulation (LES) applied to the Navier-Stokes equations emerges as a promising technique to improve both knowledge of complex physics and reliability of flow solver predictions [1].…”

Section: Introductionmentioning

confidence: 99%

“…[1]. With the increase in computing power, Large Eddy Simulation (LES) applied to the Navier-Stokes equations emerges as a promising technique to improve both knowledge of complex physics and reliability of flow solver predictions [1]. It is still the most popular and mature approach to describe the behavior of turbulent flow in complex geometries (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Regularized characteristic boundary conditions for the Lattice-Boltzmann methods at high Reynolds number flows

Wissocq

Gourdain²,

Malaspinas

et al. 2017

Journal of Computational Physics

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This paper reports the investigations done to adapt the Characteristic Boundary Conditions (CBC) to the LatticeBoltzmann formalism for high Reynolds number applications. Three CBC formalisms are implemented and tested in an open source LBM code: the baseline local one-dimension inviscid (BL-LODI) approach, its extension including the effects of the transverse terms (CBC-2D) and a local streamline approach in which the problem is reformulated in the incident wave framework (LS-LODI). Then all implementations of the CBC methods are tested for a variety of test cases, ranging from canonical problems (such as 2D plane and spherical waves and 2D vortices) to a 2D NACA profile at high Reynolds number (Re = 10 5 ), representative of aeronautic applications. The LS-LODI approach provides the best results for pure acoustics waves (plane and spherical waves). However, it is not well suited to the outflow of a convected vortex for which the CBC-2D associated with a relaxation on density and transverse waves provides the best results. As regards numerical stability, a regularized adaptation is necessary to simulate high Reynolds number flows. The so-called regularized FD (Finite Difference) adaptation, a modified regularized approach where the offequilibrium part of the stress tensor is computed thanks to a finite difference scheme, is the only tested adaptation that can handle the high Reynolds computation.

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Section: Numerical Methods and Governing Equationsmentioning

confidence: 99%

Section: Adaptation With the Regularized Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Regularized characteristic boundary conditions for the Lattice-Boltzmann methods at high Reynolds number flows

Wissocq

Gourdain²,

Malaspinas

et al. 2017

Journal of Computational Physics

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“…The idea of merging the unsteady Reynolds-averaged Navier Stokes (URANS) and large eddy simulation (LES) techniques for turbulence modeling is not conceptually new [1] and, at present, is generally considered a mature and robust option for some engineering areas, such as turbomachinery and aerospace applications [2,3]. More recently, this class of methods has started receiving more attention from the internal combustion engine (ICE) modeling community [4][5][6][7][8][9][10][11][12], because of the need for an alternative to standard LES scale-resolving approaches.…”

Section: Introductionmentioning

confidence: 99%

A Modified Version of the RNG k–ε Turbulence Model for the Scale-Resolving Simulation of Internal Combustion Engines

2017

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Abstract:The unsteady and random character of turbulent flow motion is a key aspect of the multidimensional modeling of internal combustion engines (ICEs). A typical example can be found in the prediction of the cycle-to-cycle variability (CCV) in modern, highly downsized gasoline direct injection (GDI) engines, which strongly depends on the accurate simulation of turbulent in-cylinder flow structures. The current standard for turbulence modeling in ICEs is still represented by the unsteady form of Reynold-averaged Navier Stokes equations (URANS), which allows the simulation of full engine cycles at relatively low computational costs. URANS-based methods, however, are only able to return a statistical description of turbulence, as the effects of all scales of motion are entirely modeled. Therefore, during the last decade, scale-resolving methods such as large eddy simulation (LES) or hybrid URANS/LES approaches are gaining increasing attention among the engine-modeling community. In the present paper, we propose a scale-resolving capable modification of the popular RNG k-ε URANS model. The modification is based on a detached-eddy simulation (DES) framework and allows one to explicitly set the behavior (URANS, DES or LES) of the model in different zones of the computational domain. The resulting zonal formulation has been tested on two reference test cases, comparing the numerical predictions with the available experimental data sets and with previous computational studies. Overall, the scale-resolved part of the computed flow has been found to be consistent with the expected flow physics, thus confirming the validity of the proposed simulation methodology.

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Comprehensive mesh study for a Direct Numerical Simulation of the transonic flow at Rec = 500,000 around a NACA 0012 airfoil

2015

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Aerodynamics, computers and the environment

Cited by 12 publications

References 15 publications

Regularized characteristic boundary conditions for the Lattice-Boltzmann methods at high Reynolds number flows

Regularized characteristic boundary conditions for the Lattice-Boltzmann methods at high Reynolds number flows

A Modified Version of the RNG k–ε Turbulence Model for the Scale-Resolving Simulation of Internal Combustion Engines

Comprehensive mesh study for a Direct Numerical Simulation of the transonic flow at Rec = 500,000 around a NACA 0012 airfoil

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