Topological Analysis of High Velocity Turbulent Flow
Autor: | Benjamin Fovet, Julien Tierny, Fabien Vivodtzev, Thibault Bridel-Bertomeu |
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Přispěvatelé: | Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Algorithmes, Programmes et Résolution (APR), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre d'études scientifiques et techniques d'Aquitaine (CESTA), Direction des Applications Militaires (DAM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Tierny, Julien |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Computer science
Complex system [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR] 02 engineering and technology [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM] Tracking (particle physics) [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG] Physics::Fluid Dynamics [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] Electromagnetism 0202 electrical engineering electronic engineering information engineering Aerospace engineering [INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS] 020203 distributed computing Hydrodynamic stability Turbulence business.industry [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] 020207 software engineering Aerodynamics [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM] Flow (mathematics) [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] [INFO.INFO-MS] Computer Science [cs]/Mathematical Software [cs.MS] [INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG] [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Topological data analysis business |
Zdroj: | IEEE Symposium on Large Data Analysis and Visualization IEEE Symposium on Large Data Analysis and Visualization, Oct 2019, Vancouver, Canada 2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV) LDAV |
Popis: | International audience; In order to guarantee the performances of complex systems, the CEA is driving large numerical simulations in various fields such as thermomechanics, electromagnetism and aerodynamics. Due to the size of the problems and the use of High Performance Computing approaches, large and complex datasets need to be explored to understand the physical phenomena. This paper focuses on the exploration of a compressible turbulent 2D flow, to better understand the flight behavior of an object. Topological data analysis (TDA) is used to improve understanding and avoid costly traditional methods such as 3D modal decomposition algorithms or highly technical hydrody-namic stability codes. The attention is put on the large eddies shed behind a cylinder hit by a crossflow. Thanks to TDA the tracking of the eddies, the identification of their origin and the evolution of their amplitude with the downstream distance are facilitated. |
Databáze: | OpenAIRE |
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