HEMLAB Algorithm Applied to 4th AIAA CFD High Lift Prediction Workshop

Hulya Sukas, Mehmet Sahin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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 languageEnglish
Title of host publicationAIAA AVIATION 2022 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624106354
DOIs
Publication statusPublished - 2022
EventAIAA AVIATION 2022 Forum - Chicago, United States
Duration: 27 Jun 20221 Jul 2022

Publication series

NameAIAA AVIATION 2022 Forum

Conference

ConferenceAIAA AVIATION 2022 Forum
Country/TerritoryUnited States
CityChicago
Period27/06/221/07/22

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.

FundersFunder number
National Center for High Performance Computing of Turkey
UYBHM10752009
Türkiye Bilimsel ve Teknolojik Araştırma KurumuDECI-16
European Regional Development Fund

    Fingerprint

    Dive into the research topics of 'HEMLAB Algorithm Applied to 4th AIAA CFD High Lift Prediction Workshop'. Together they form a unique fingerprint.

    Cite this