High‐order CFD methods: current status and perspective
By Zhijian Wang, Krzysztof J. Fidkowski, Rémi Abgrall, Francesco Bassi, D. Caraeni, A. Cary, H. Deconinck, Ralf Hartmann, K. Hillewaert, Hung T. Huynh and 5 more. 2013
1,039 citations recorded by the source corpus.
After several years of planning, the 1st International Workshop on High‐Order CFD Methods was successfully held in Nashville, Tennessee, on January 7–8, 2012, just before the 50th Aerospace Sciences Meeting. The American Institute of Aeronautics and Astronautics, the Air Force Office of Scientific Research, and the German Aerospace Center provided much needed support, financial and moral. Over 70 participants from all over the world across the research spectrum of academia, government labs, and private industry attended the workshop. Many exciting results were presented. In this review article, the main motivation and major findings from the workshop are described. Pacing items requiring further effort are presented. Copyright © 2013 John Wiley & Sons, Ltd.
Subfields: Aerospace Engineering, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/00da85dbba413913ff3d4b4e012cab36a7bf0c1d
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In Computational Mechanics
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Citations in the corpus
- High‐order discontinuous Galerkin spectral element methods for transitional and turbulent flow simulations (2014, methodology): “Following the instructions from the first [33] and second International Workshop on High Order CFD-Methods, we run this case at Ma D 0:1 and employ isothermal walls with Twall=T1 D 1:002.”
- A moving discontinuous Galerkin finite element method for flows with interfaces (2018, background): “This issue is of particular concern in aeroacoustics, and remains an open issue for higher-order methods [20].”
- A unified approach for a posteriori high-order curved mesh generation using solid mechanics (2016, background): “The potential of high-order unstructured methods has been intensively studied by the computational fluid dynamics (CFD) community in the last decade due to their inherent ability to accurately predict the behaviour of complex high Reynolds number flows [37,45,48,74].”