High-order implicit large-Eddy simulations of flow over a NACA0021 aerofoil
File(s)
Accepted version
OA Location
Author(s)
Park, JS
Witherden, FD
Vincent, PE
Type
Journal Article
Abstract
In this study the graphical-processing-unit-accelerated solver PyFR is used to simulate flow over a NACA0021 aerofoil in deep stall at a Reynolds number of 270,000 using the high-order flux reconstruction approach.
Wall-resolved implicit large-eddy simulations are undertaken on unstructured hexahedral meshes at fourth- and fifth-order accuracy in space. It was found that either modal filtering or antialiasing via an approximate L2 projection is required in order to stabilize simulations. Time-span-averaged pressure coefficient distributions on the aerofoil and associated lift and drag coefficients are seen to converge toward experimental data as the simulation setup is made more realistic by increasing the aerofoil span. Indeed, the lift and drag coefficients obtained by fifth-order implicit large-eddy simulation with antialiasing via an approximate L2 projection agree better with experimental data than a wide range of previous studies. Stabilization via modal filtering, however, is found to reduce solution accuracy. Finally, performance of various PyFR simulations is compared, and it is found that fifth-order simulations with antialiasing via an L2 projection are the most efficient. Results indicate that high-order flux reconstruction schemes with antialiasing via an L2 projection are a good candidate for underpinning accurate wall- resolved implicit large-eddy simulation of separated, turbulent flows over complex engineering geometries.
Wall-resolved implicit large-eddy simulations are undertaken on unstructured hexahedral meshes at fourth- and fifth-order accuracy in space. It was found that either modal filtering or antialiasing via an approximate L2 projection is required in order to stabilize simulations. Time-span-averaged pressure coefficient distributions on the aerofoil and associated lift and drag coefficients are seen to converge toward experimental data as the simulation setup is made more realistic by increasing the aerofoil span. Indeed, the lift and drag coefficients obtained by fifth-order implicit large-eddy simulation with antialiasing via an approximate L2 projection agree better with experimental data than a wide range of previous studies. Stabilization via modal filtering, however, is found to reduce solution accuracy. Finally, performance of various PyFR simulations is compared, and it is found that fifth-order simulations with antialiasing via an L2 projection are the most efficient. Results indicate that high-order flux reconstruction schemes with antialiasing via an L2 projection are a good candidate for underpinning accurate wall- resolved implicit large-eddy simulation of separated, turbulent flows over complex engineering geometries.
Date Issued
2017-07-01
Date Acceptance
2017-03-20
Citation
AIAA Journal: devoted to aerospace research and development, 2017, 55 (7), pp.2186-2197
ISSN
0001-1452
Publisher
American Institute of Aeronautics and Astronautics
Start Page
2186
End Page
2197
Journal / Book Title
AIAA Journal: devoted to aerospace research and development
Volume
55
Issue
7
Replaces
10044/1/45762
Copyright Statement
© 2017 by J. S. Park, F. D. Witherden, and P. E. Vincent. Published open access by the American Institute of Aeronautics and Astronautics, Inc., with
permission. All requests for copying and permission to reprint should be
submitted to CCC at www.copyright.com; employ the ISSN 0001-1452
(print) or 1533-385X (online) to initiate your request. See also AIAA Rights
and Permissions www.aiaa.org/randp.
permission. All requests for copying and permission to reprint should be
submitted to CCC at www.copyright.com; employ the ISSN 0001-1452
(print) or 1533-385X (online) to initiate your request. See also AIAA Rights
and Permissions www.aiaa.org/randp.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000404893600006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/L000407/1
EP/K027379/1
EP/M50676X/1
Subjects
Science & Technology
Technology
Engineering, Aerospace
Engineering
UNSTRUCTURED GRIDS
ELEMENT METHODS
EQUATIONS
SCHEMES
PYFR
Publication Status
Published
Date Publish Online
2017-06-10