Advanced search options

You searched for `subject:(SFS energy)`

. One record found.

▼ Search Limiters

Penn State University

1.
Salesky, Scott Thomas.
Similarity Models of Subfilter-Scale *Energy* and Temperature
Variance for Large Eddy Simulations of the Atmospheric Boundary
Layer.

Degree: MS, Meteorology, 2010, Penn State University

URL: https://etda.libraries.psu.edu/catalog/10770

Knowledge of the subfilter-scale (SFS) energy is
instrumental for several reasons in Large Eddy Simulations (LES) of
the atmospheric boundary layer (ABL). The SFS energy must be known
to recover the true pressure field from the modified pressure used
in simulations and may be used to form an eddy viscosity to model
the SFS stress tensor. The SFS energy also must be known in LES of
compressible flow to close the set of governing equations. The
one-equation model, which determines the SFS energy through the
numerical solution of its rate equation, is frequently used in LES.
Although this approach is common, it has a high computational cost
and requires closure assumptions. Several alternative models for
the SFS energy have been proposed, including models formed by
dimensional analysis, others that assume a spectral shape which is
integrated to obtain the SFS energy, and others that are based on
the hypothesis of scale similarity. Many of these models are
strictly global, however, meaning that they can only predict the
average SFS energy. A local model is proposed for the SFS energy in
LES of the ABL that is based on the scale similarity between the
SFS energy and the trace of the Leonard stress tensor. The SFS
energy model is derived from a stability-dependent atmospheric
model of the energy spectrum that incorporates the effects of
buoyancy and shear and therefore can account for the shape of the
energy spectrum at low wavenumbers. Furthermore, this approach has
a lower computational cost than the one-equation model, since the
Leonard stress can be calculated easily in simulations. Results
from an a priori test using data from the Horizontal Array
Turbulence Study (HATS) demonstrate that the model performs well in
both a global and a local sense. The model is able to correctly
predict the average SFS energy for most stabilities and
dimensionless filter widths considered, and does so more accurately
than a similar model that assumes an infinite -5/3 energy spectrum.
The model also performs well in a local sense, producing a
probability distribution function (PDF) similar to that of the
actual SFS energy. This procedure is also extended to develop a
model for the SFS temperature variance.

Subjects/Keywords: SFS modeling; turbulence; atmospheric boundary layer; large eddy simulation; SFS energy

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Salesky, S. T. (2010). Similarity Models of Subfilter-Scale Energy and Temperature Variance for Large Eddy Simulations of the Atmospheric Boundary Layer. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10770

Chicago Manual of Style (16^{th} Edition):

Salesky, Scott Thomas. “Similarity Models of Subfilter-Scale Energy and Temperature Variance for Large Eddy Simulations of the Atmospheric Boundary Layer.” 2010. Masters Thesis, Penn State University. Accessed October 14, 2019. https://etda.libraries.psu.edu/catalog/10770.

MLA Handbook (7^{th} Edition):

Salesky, Scott Thomas. “Similarity Models of Subfilter-Scale Energy and Temperature Variance for Large Eddy Simulations of the Atmospheric Boundary Layer.” 2010. Web. 14 Oct 2019.

Vancouver:

Salesky ST. Similarity Models of Subfilter-Scale Energy and Temperature Variance for Large Eddy Simulations of the Atmospheric Boundary Layer. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2019 Oct 14]. Available from: https://etda.libraries.psu.edu/catalog/10770.

Council of Science Editors:

Salesky ST. Similarity Models of Subfilter-Scale Energy and Temperature Variance for Large Eddy Simulations of the Atmospheric Boundary Layer. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10770