Imperial College London

Professor Peter Vincent

Faculty of EngineeringDepartment of Aeronautics

Professor of Computational Fluid Dynamics
 
 
 
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Contact

 

+44 (0)20 7594 1975p.vincent

 
 
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Location

 

211City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Giangaspero:2022:10.2514/1.J061046,
author = {Giangaspero, G and Witherden, F and Vincent, P},
doi = {10.2514/1.J061046},
journal = {AIAA Journal: devoted to aerospace research and development},
pages = {1032--1051},
title = {Synthetic turbulence generation for high-order scale-resolving simulations on unstructured grids},
url = {http://dx.doi.org/10.2514/1.J061046},
volume = {60},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - An extended version of the synthetic eddy method for generation of synthetic turbulence has been developed via asource term formulation and implemented in the open-source cross-platform solver PyFR. The method caters for thefull space-dependent anisotropy of the target turbulent length scales, and it is agnostic of the space and timediscretization of the underlying solver, which can be incompressible or compressible. Moreover, the method doesnot require each solution point to communicate with nearest neighbors; thus, it is well suited for modern, massivelyparallel, high-order unstructured codes which support mixed and possibly curved elements. The method has beenapplied to two test cases: incompressible plane channel flow at Reτ 180 and compressible flow over an SD7003aerofoil at Re 66;000, Ma 0.2, and α 4 deg. The channel flow case was run on three topologically differentmeshes composed of hexahedra, prisms, and a combination of prisms and tetrahedra, respectively. Almost identicalresults have been obtained on the three meshes. Results also show that taking into account the anisotropy of theturbulent length scales can reduce the development length. For the SD7003 aerofoil case, the injection of syntheticturbulence improves agreement between numerical and experimental results.
AU - Giangaspero,G
AU - Witherden,F
AU - Vincent,P
DO - 10.2514/1.J061046
EP - 1051
PY - 2022///
SN - 0001-1452
SP - 1032
TI - Synthetic turbulence generation for high-order scale-resolving simulations on unstructured grids
T2 - AIAA Journal: devoted to aerospace research and development
UR - http://dx.doi.org/10.2514/1.J061046
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000719737600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://arc.aiaa.org/doi/10.2514/1.J061046
UR - http://hdl.handle.net/10044/1/92903
VL - 60
ER -