Abstract
The NASA High-Lift Common Research Model (CRM-HL) has been investigated using the HEMLAB algorithm in order to numerically predict stall characteristics at high angle of attacks. The numerical method is based on a vertex based finite volume method on hybrid meshes using the quad-and half-edge data structures. In order to improve numerical accuracy, the pyAMG anisotropic mesh adaptation library from INRIA is integrated in order to improve mesh resolution near the high gradient regions. The resulting algebraic equations due to the compressible Navier-Stokes and the one equation Spallart-Allmaras turbulence equations are solved in a monolithic manner using the restricted additive Schwarz precon-ditioner combined with the FGMRES Krylov subspace algorithm within the PETSc library. The numerical simulations are carried out around the NASA High-Lift Common Research Model at pre-and post-stall angles of attack. The numerical dissipation effects are observed to be critical for the accuracy of the resulting aerodynamic loads at high angles of attack. The results with the anisotropic mesh refinement indicate relatively good agreement with the committee experimental results.
Original language | English |
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Title of host publication | AIAA AVIATION 2022 Forum |
Publisher | American Institute of Aeronautics and Astronautics Inc, AIAA |
ISBN (Print) | 9781624106354 |
DOIs | |
Publication status | Published - 2022 |
Event | AIAA AVIATION 2022 Forum - Chicago, United States Duration: 27 Jun 2022 → 1 Jul 2022 |
Publication series
Name | AIAA AVIATION 2022 Forum |
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Conference
Conference | AIAA AVIATION 2022 Forum |
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Country/Territory | United States |
City | Chicago |
Period | 27/06/22 → 1/07/22 |
Bibliographical note
Publisher Copyright:© 2022, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
Funding
The authors also gratefully acknowledge the use of the computing resources provided by the National Center for High Performance Computing of Turkey (UYBHM) under grant number 10752009, and the computing facilities at TUBITAK ULAKBIM, High Performance and Grid Computing Center. The authors also acknowledge the use of the PRACE – Partnership for Advanced Computing in Europe (DECI-16) resources through the Computing Centre of the Slovak Academy of Sciences supercomputing infrastructure acquired in project ITMS 26230120002 and 26210120002 (Slovak infrastructure for high-performance computing) supported by the Research & Development Operational Programme funded by the ERDF.
Funders | Funder number |
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National Center for High Performance Computing of Turkey | |
UYBHM | 10752009 |
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu | DECI-16 |
European Regional Development Fund |