Abstract
The high-lift JAXA Standard Model (HL-JSM) has been numerically analyzed in order to further validate the HEMLAB code for realistic aircraft configurations. The numerical algorithm is based on highly efficient edge-based data structure for a vertex based finite volume algorithm on hybrid meshes. The data pattern is arranged to meet the requirements of a vertex based finite volume algorithm by considering data access patterns and cache efficiency. A fully implicit version of the numerical algorithm has also been implemented based on the PETSc library in order to improve the robustness of the algorithm. The resulting algebraic equations including the one-equation Spalart-Allmaras are solved in a monolithic manner using the restricted additive Schwarz preconditioner combined with the FGMRES(m) Krylov subspace algorithm. The numerical method is also combined with the metric based anisotropic mesh refinement library PYAMG in order to improve the numerical accuracy. The numerical algorithm is initially applied to the two dimensional L1T2 (NHLP) high lift system and then the calculations around the high-lift JAXA Standard Model are carried out at relatively high angle of attacks. The numerical results with the anisotropic mesh refinement library PYAMG indicate significant improvements in numerical accuracy.
| Original language | English |
|---|---|
| Title of host publication | AIAA Scitech 2021 Forum |
| Publisher | American Institute of Aeronautics and Astronautics Inc, AIAA |
| Pages | 1-17 |
| Number of pages | 17 |
| ISBN (Print) | 9781624106095 |
| Publication status | Published - 2021 |
| Event | AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online Duration: 11 Jan 2021 → 15 Jan 2021 |
Publication series
| Name | AIAA Scitech 2021 Forum |
|---|
Conference
| Conference | AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 |
|---|---|
| City | Virtual, Online |
| Period | 11/01/21 → 15/01/21 |
Bibliographical note
Publisher Copyright:© 2021, 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 |
|---|---|
| National Center for High Performance Computing of Turkey | |
| TUBITAK | DECI-16 |
| UYBHM | 10752009 |
| European Regional Development Fund |