A Hybridized Discontinuous Galerkin Solver for High-Speed Compressible Flow
We present a high-order consistent compressible flow solver, based on a hybridized discontinuous Galerkin (HDG) discretization, for applications covering subsonic to hypersonic flow. In the context of high-order discretization, this broad range of applications presents unique difficulty, especially...
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MDPI AG
2021
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oai:doaj.org-article:edbd7ff012a84385bec893af951448272021-11-25T15:57:15ZA Hybridized Discontinuous Galerkin Solver for High-Speed Compressible Flow10.3390/aerospace81103222226-4310https://doaj.org/article/edbd7ff012a84385bec893af951448272021-10-01T00:00:00Zhttps://www.mdpi.com/2226-4310/8/11/322https://doaj.org/toc/2226-4310We present a high-order consistent compressible flow solver, based on a hybridized discontinuous Galerkin (HDG) discretization, for applications covering subsonic to hypersonic flow. In the context of high-order discretization, this broad range of applications presents unique difficulty, especially at the high-Mach number end. For instance, if a high-order discretization is to efficiently resolve shock and shear layers, it is imperative to use adaptive methods. Furthermore, high-Enthalpy flow requires non-trivial physical modeling. The aim of the present paper is to present the key enabling technologies. We discuss efficient discretization methods, including anisotropic metric-based adaptation, as well as the implementation of flexible modeling using object-oriented programming and algorithmic differentiation. We present initial verification and validation test cases focusing on external aerodynamics.Georg MayKoen DevesseAjay RangarajanThierry MaginMDPI AGarticleDiscontinuous Galerkin Methodshigh-enthalpy flowanisotropic adaptationobject-oriented programmingalgorithmic differentiationMotor vehicles. Aeronautics. AstronauticsTL1-4050ENAerospace, Vol 8, Iss 322, p 322 (2021) |
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DOAJ |
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Discontinuous Galerkin Methods high-enthalpy flow anisotropic adaptation object-oriented programming algorithmic differentiation Motor vehicles. Aeronautics. Astronautics TL1-4050 |
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Discontinuous Galerkin Methods high-enthalpy flow anisotropic adaptation object-oriented programming algorithmic differentiation Motor vehicles. Aeronautics. Astronautics TL1-4050 Georg May Koen Devesse Ajay Rangarajan Thierry Magin A Hybridized Discontinuous Galerkin Solver for High-Speed Compressible Flow |
description |
We present a high-order consistent compressible flow solver, based on a hybridized discontinuous Galerkin (HDG) discretization, for applications covering subsonic to hypersonic flow. In the context of high-order discretization, this broad range of applications presents unique difficulty, especially at the high-Mach number end. For instance, if a high-order discretization is to efficiently resolve shock and shear layers, it is imperative to use adaptive methods. Furthermore, high-Enthalpy flow requires non-trivial physical modeling. The aim of the present paper is to present the key enabling technologies. We discuss efficient discretization methods, including anisotropic metric-based adaptation, as well as the implementation of flexible modeling using object-oriented programming and algorithmic differentiation. We present initial verification and validation test cases focusing on external aerodynamics. |
format |
article |
author |
Georg May Koen Devesse Ajay Rangarajan Thierry Magin |
author_facet |
Georg May Koen Devesse Ajay Rangarajan Thierry Magin |
author_sort |
Georg May |
title |
A Hybridized Discontinuous Galerkin Solver for High-Speed Compressible Flow |
title_short |
A Hybridized Discontinuous Galerkin Solver for High-Speed Compressible Flow |
title_full |
A Hybridized Discontinuous Galerkin Solver for High-Speed Compressible Flow |
title_fullStr |
A Hybridized Discontinuous Galerkin Solver for High-Speed Compressible Flow |
title_full_unstemmed |
A Hybridized Discontinuous Galerkin Solver for High-Speed Compressible Flow |
title_sort |
hybridized discontinuous galerkin solver for high-speed compressible flow |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/edbd7ff012a84385bec893af95144827 |
work_keys_str_mv |
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_version_ |
1718413414462652416 |