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Large-Eddy Simulation of the Navier-Stokes Equations: Deconvolution, Particle Methods, and Super-Resolution

Leonard, A. (2016) Large-Eddy Simulation of the Navier-Stokes Equations: Deconvolution, Particle Methods, and Super-Resolution. In: Advances in Computation, Modeling and Control of Transitional and Turbulent Flows. World Scientific , Singapore, pp. 1-16. ISBN 978-981-4635-16-5. http://resolver.caltech.edu/CaltechAUTHORS:20160930-083031310

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Abstract

The technique of large-eddy simulation (LES) continues to play an important role in the numerical simulation of fluid dynamic processes in engineering and scientific applications. This paper will review and discuss a few of the various schemes for LES applied to the incompressible Navier-Stokes equations and to the scalar advection-diffusion equation. In particular, subgrid models based on deconvolution will be discussed. An interesting connection between the tensor diffusivity model, a particular version of a deconvolution model, and Lagrangian particle methods for the vorticity transport equation and for the scalar convection-diffusion equation will be explored. In addition, the possibility of using super-resolution, i.e. recovering fine-scale information knowing only coarse-scale information, in LES will be investigated.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1142/9789814635165_0001DOIArticle
http://www.worldscientific.com/doi/10.1142/9789814635165_0001PublisherArticle
Additional Information:© 2016 World Scientific Publishing Co Pte Ltd.
Group:GALCIT
Subject Keywords:large-eddy simulation; deconvolution; Lagrangian particle methods; super-resolution
Record Number:CaltechAUTHORS:20160930-083031310
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20160930-083031310
Official Citation:Large-Eddy Simulation of the Navier-Stokes Equations: Deconvolution, Particle Methods, and Super-Resolution A. Leonard Advances in Computation, Modeling and Control of Transitional and Turbulent Flows. January 2016, 1-16
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:70675
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:30 Sep 2016 17:06
Last Modified:04 Jan 2017 23:44

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