Abstract
This paper presents a high-order discontinuous Galerkin method for computation of compressible turbulent flows in three space dimensions. A modified Spalart-and-Allmaras turbulence model is implemented and discretized to the same order of accuracy as that for the Reynolds-averaged Navier-Stokes equations. The creation of curvilinear meshes for arbitrary three-dimensional configurations is achieved through the aid of a computational analysis programming interface, which enables direct communications with the computer-aided design module to determine the true positions of surface quadrature points for high-order geometric representations. A modified linear elasticity approach is used sequentially and is of crucial importance for reshaping the interior mesh to allow high-aspect-ratio curved elements in turbulent boundary layers. Requirements of the mesh parameters, including the wall spacing and viscous stretching factor, are studied; and it is concluded that, for attached turbulent flows, the conventional settings often used in low-order methods should be less stringent when a higher-order method is considered. Several other numerical examples, including a direct numerical simulation of the Taylor-Green vortex and turbulent flow over an ONERA M6 wing, are considered to assess the solution accuracy and to demonstrate the performance of high-order discontinuous Galerkin methods in capturing transitional and turbulent flow phenomena.
Original language | English |
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Pages (from-to) | 1159-1171 |
Number of pages | 13 |
Journal | AIAA Journal |
Volume | 53 |
Issue number | 5 |
DOIs | |
State | Published - 2015 |
Externally published | Yes |
Funding
The work was supported by the Tennessee Higher Education Commission Center of Excellence in Applied Computational Science and Engineering. The support is greatly appreciated. The authors would also like to thank Christopher Rumsey for providing the CFL3D solutions for the ONERA M6 wing test case.
Funders | Funder number |
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Tennessee Higher Education Commission Center of Excellence in Applied Computational Science and Engineering |