A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows

Bui, Trong T.

doi:10.2514/6.1999-789

Cited by 33 publications

(31 citation statements)

References 13 publications

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“…Similar techniques have also been successfully explored by Bui [6], Mary and Sagaut [16] and Ciardi et al [7].…”

Section: Methodsmentioning

confidence: 79%

Turbulent jet characteristics for axisymmetric and serrated nozzles

Xia

2015

Computers & Fluids

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Turbulent jet large eddy simulations (LES) are performed at Mach 0.9 and Reynolds number around 10 6 . Implicit large-eddy simulation (ILES) is employed, namely omitting explicit subgrid scale models. The Reynolds-averaged Navier-Stokes (RANS) solution is blended into the near wall region. This makes an overall hybrid LES-RANS approach. A Hamilton-Jacobi equation is applied to remove the disparate turbulence length scales implied by hybridization. Computations are contrasted for a baseline axisymmetric (round) nozzle and a serrated (or chevron) nozzle with high bending and penetration. Jet characteristics for both nozzles are studied in detail with well documented experimental data compared. The chevron effects are demonstrated by comparing both solutions using the same mesh resolution and flow conditions. Higher order velocity moments with potential for aeroacoustic modeling and noise prediction, such as the two-point velocity spatial correlations, are also explored. Numerical simulations presented in this study utilize an in-house flow solver with improved parallel scalability and efficiency by means of data packeting and a scheduling algorithm similar to the Round Robin scheduling.

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“…Similar techniques have also been successfully explored by Bui [6], Mary and Sagaut [16] and Ciardi et al [7].…”

Section: Methodsmentioning

confidence: 79%

Turbulent jet characteristics for axisymmetric and serrated nozzles

Xia

2015

Computers & Fluids

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“…Therefore, in order to make the model less diffusive, the upwinding term needs to be reduced as much as possible, while the stability is kept. This can be achieved [28] by using an upwinding coefficient c d , so that expression (15) becomes…”

Section: Reduction Of the Numerical Viscositymentioning

confidence: 99%

“…In the large eddy simulation model described by Bui [28], smaller values (0.03-0.05) were needed to obtain good results. Diminishing the c d value increases the computational cost because the minimum value of this coefficient necessary for stability decreases with the mesh size [28]; that is to say, to diminish the c d acceptable values, finer grids have to be used. After a trial-and-error process, the most appropriate value was found to be c d = 0.03, with the 81×81 nodes mesh.…”

Section: Reduction Of the Numerical Viscositymentioning

confidence: 99%

Numerical viscosity reduction in the resolution of the shallow water equations with turbulent term

Cueto‐Felgueroso

Navarrina

et al. 2008

Numerical Methods in Fluids

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SUMMARYA first-order finite volume model for the resolution of the 2D shallow water equations with turbulent term is presented. An upwind discretization of the equations that include the turbulent term is carried out. A method to reduce the excess of numerical viscosity (or diffusion) produced by the upwinding of the flux term is proposed. Two different discretizations of the turbulent term are compared, and results for uniform distributions of the viscosity are presented. Finally, two discretizations of the time derivative which are more efficient than Euler's are proposed and compared.

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“…Recent studies have shown their superior performance, compared to artificial viscosity schemes [34]. Unfortunately, upwind schemes are frequently associated to an excessive numerical dissipation in more general flows [13], [14], [15], being rather widely regarded as "specialized" methods, and not well suited for more general flows [34].…”

Section: Upwind Schemes: High-order Reconstructionmentioning

confidence: 99%

“…Various researchers have reported that first and even second order upwind schemes exhibit excessive numerical dissipation when applied to more general flows (not necessarily including shock wave propagation) where turbulent effects are of interest [13], [14], [15], and several corrections to the original algorithms have been proposed in order to reduce the unnecessary artificial dissipation introduced in the computations. Unfortunately, these corrections are somewhat "heuristic", and yet remains a compromise between accuracy and stability: the lesser the dissipation added the more accurate the results, whereas some amount of artificial viscosity is unavoidably necessary to yield stable algorithms.…”

Section: Introductionmentioning

confidence: 99%

High-order finite volume schemes on unstructured grids using moving least-squares reconstruction. Application to shallow water dynamics

Cueto‐Felgueroso¹,

Colominas²,

Fe³

et al. 2005

Int. J. Numer. Meth. Engng

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SUMMARYThis paper introduces the use of Moving Least Squares (MLS) approximations for the development of high-order finite volume discretizations on unstructured grids. The field variables and their succesive derivatives can be accurately reconstructed using this meshfree technique in a general nodal arrangement. The methodology proposed is used in the construction of low-dissipative highorder high-resolution schemes for the shallow water equations. In particular, second and third-orderreconstruction upwind schemes for unstructured grids based on Roe's flux difference splitting are developed and applied to inviscid and viscous flows. This class of meshfree reconstruction techniques provide a robust and general approximation framework which represents an interesting alternative to the existing procedures, allowing, in addition, an accurate computation of the viscous fluxes. Copyright

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A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows

Cited by 33 publications

References 13 publications

Turbulent jet characteristics for axisymmetric and serrated nozzles

Turbulent jet characteristics for axisymmetric and serrated nozzles

Numerical viscosity reduction in the resolution of the shallow water equations with turbulent term

High-order finite volume schemes on unstructured grids using moving least-squares reconstruction. Application to shallow water dynamics

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