Improved subgrid-scale models for large-eddy simulation

Bardina, J.; Ferziger, Joel H.; Reynolds, W. C.

doi:10.2514/6.1980-1357

Cited by 627 publications

(695 citation statements)

References 9 publications

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“…This can be shown mathematically (Leonard 1997) by keeping the first term in an expansion of the filtered product Tu ĩ that appears in the definition of q. A third approach, the so-called mixed model (Bardina and Ferziger 1980), is a linear combination of Eqs. (3) and (4):…”

Section: Sgs Heat Flux Alignmentsmentioning

confidence: 99%

The Effect of Filter Dimension on the Subgrid-Scale Stress, Heat Flux, and Tensor Alignments in the Atmospheric Surface Layer

Higgins

Meneveau

Parlange

2007

Journal of Atmospheric and Oceanic Technology

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In field experiments designed to study subgrid-scale parameterizations for large eddy simulation, the flow field is often measured and then filtered in two-dimensional planes. This two-dimensional filtering serves as a surrogate for three-dimensional filtering. The question of whether this will yield accurate results in subgrid-scale (SGS) models is addressed by analyzing data from a field experiment in which 16 sonic anemometers were deployed in a four by four grid. The experiment was held in July 2002 at the Surface Layer Turbulence and Environmental Science Test (SLTEST) facility in the Utah West Desert. The full SGS stress tensor and its parameterizations using both two-and three-dimensional filterings are obtained. Comparisons are given between two-and three-dimensional filterings of the field measurements based on probability density functions (PDFs) and energy spectra of the SGS stress elements. The PDFs reveal that quantities calculated with two-dimensional filtering exhibit greater intermittency than those computed with three-dimensional filtering at the same scale. From the spectra it is observed that the different filtering methods result in similar behavior, but that spectra of SGS stress components computed with a threedimensional filter roll off at a slightly lower wavenumber than those computed with a two-dimensional filter. The PDFs and spectra of the stresses calculated with two-and three-dimensional filters can be made to collapse by reducing the three-dimensional filter scale according to ⌬ 3ϪD ϭ 0.84⌬ 2ϪD . Geometric alignment analyses are performed for the SGS heat flux, SGS stress, and filtered strain rate for the cases of stable, near-neutral, and unstable atmospheric stabilities. Under unstable and near-neutral atmospheric stability, two-dimensional filtering yields acceptable results; however, under stable atmospheric stability, a new approach is recommended and delineated.

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Section: Sgs Heat Flux Alignmentsmentioning

confidence: 99%

The Effect of Filter Dimension on the Subgrid-Scale Stress, Heat Flux, and Tensor Alignments in the Atmospheric Surface Layer

Higgins

Meneveau

Parlange

2007

Journal of Atmospheric and Oceanic Technology

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“…In order to overcome this shortcoming, the Dynamic Mixed model (hereafter denoted by DM model) was proposed by Zang et al [17] and revised by Vreman et al [18] as a linear combination of the DS model and the scale-similarity model [19] to control the extent of excessive back-scattering. The basic equations of DM model are shown in the following equations:…”

Section: Appearance Of Dynamic Sgs Models and Their Applications On Wmentioning

confidence: 99%

“…However, computation based on the DS model was not stable as the fluctuation of C was too large. In order to stabilize the fluctuation of C, various techniques and models had later been proposed [12][13][14][15][16][17][18][19][20][21][22]. When the flowfield has a homogeneous direction (e.g.…”

Section: Appearance Of Dynamic Sgs Models and Their Applications On Wmentioning

confidence: 99%

Prediction of wind environment and thermal comfort at pedestrian level in urban area

Mochida

Lun

2008

Journal of Wind Engineering and Industrial Aerodynamics

281

116

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“…Another widely used set of SGS models is derived from the so-called similarity model (Bardina et al 1980), an approach that postulates that the SGS stress is proportional to the turbulent stresses from the smallest resolved scales (between the grid scale and a second test filter scale α ). A simpler implementation of the similarity model can be derived by performing a Taylor-series expansion of u yielding the non-linear model (Clark et al 1979;Liu et al 1994)…”

Section: Subgrid-scale Physicsmentioning

confidence: 99%

Subgrid-Scale Dynamics of Water Vapour, Heat, and Momentum over a Lake

Vercauteren

Bou‐Zeid

Parlange

et al. 2008

Boundary-Layer Meteorol

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We examine the dynamics of turbulence subgrid (or sub-filter) scales over a lake surface and the implications for large-eddy simulations (LES) of the atmospheric boundary layer. The analysis is based on measurements obtained during the Lake-Atmosphere Turbulent EXchange (LATEX) field campaign (August-October, 2006) over Lake Geneva, Switzerland. Wind velocity, temperature and humidity profiles were measured at 20 Hz using a vertical array of four sonic anemometers and open-path gas analyzers. The results indicate that the observed subgrid-scale statistics are very similar to those observed over land surfaces, suggesting that the effect of the lake waves on surface-layer turbulence during LATEX is small. The measurements allowed, for the first time, the study of subgrid-scale turbulent transport of water vapour, which is found to be well correlated with the transport of heat, suggesting that the subgrid-scale modelling of the two scalars may be coupled to save computational resources during LES.

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Improved subgrid-scale models for large-eddy simulation

Cited by 627 publications

References 9 publications

The Effect of Filter Dimension on the Subgrid-Scale Stress, Heat Flux, and Tensor Alignments in the Atmospheric Surface Layer

The Effect of Filter Dimension on the Subgrid-Scale Stress, Heat Flux, and Tensor Alignments in the Atmospheric Surface Layer

Prediction of wind environment and thermal comfort at pedestrian level in urban area

Subgrid-Scale Dynamics of Water Vapour, Heat, and Momentum over a Lake

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