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Finite Difference Methods for Turbulence SimulationsThe optimal finite difference discretization used in simulations of turbulent flows is influenced by both, the type of the scale resolving simulation (DNS or LES), as well as the flow-physics (hydrodynamic instabilities, shocks, acoustics, etc.) one expects to resolve. Insight into dispersion and dissipation error requirements for some common scale-resolving simulation scenarios help to highlight the issues faced in selecting a scheme.
Document ID
20220012868
Acquisition Source
Ames Research Center
Document Type
Book Chapter
Authors
Aditya Ghate
(Science and Technology Corporation (United States) Hampton, Virginia, United States)
Sanjiva K. Lele
(Stanford University Stanford, California, United States)
Date Acquired
August 18, 2022
Publication Date
December 1, 2022
Publication Information
Publication: Numerical Methods in Turbulence Simulation
Publisher: Elsevier
Volume: 1
Issue Publication Date: December 1, 2022
ISBN: 9780323911443
URL: https://www.elsevier.com/books/numerical-methods-in-turbulence-simulation/moser/978-0-323-91144-3
Subject Category
Aeronautics (General)
Numerical Analysis
Funding Number(s)
WBS: 109492.02.01.09.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Peer Committee
Keywords
Finite Difference Methods
Turbulence Simulations
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