Comparisons of hpcmp createTM-AV KESTREL-COFFE, SU2, and mit sans rans solutions using output-based adapted meshes for a multi-element airfoil

Marshall C. Galbraith, Carmen Ioana Ursachi, Durgesh Chandel, Steven R. Allmaras, David L. Darmofal, Ryan S. Glasby, Douglas L. Stefanski, J. Taylor Erwin, Kevin R. Holst, Ethan A. Hereth, Jayant Mukhopadhaya, Juan J. Alonso

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

9 Scopus citations

Abstract

In this work, RANS solutions for a multi-element airfoil computed with MIT SANS, United States DoD HPCMP CREATETM-AV Kestrel component COFFE, and SU2 using output-based adapted meshes are compared with RANS solutions computed using manually generated meshes adhering to “best practices”. The adapted meshes are generated using the process implemented in SANS, which seeks to find a mesh that minimizes the error estimate of a given output functional. The manually generated meshes are the result of a systematic study of the influence of a range of meshing parameters on solution accuracy. Using the adapted meshes generally leads to more than one order of magnitude reduction in lift and drag error relative to the manually generated meshes of a comparable node count for all of the CFD solvers. Alternatively, the node counts of the adapted meshes are more than an order of magnitude smaller than the manually generated meshes for a given lift and drag error level.

Original languageEnglish
Title of host publicationAIAA Scitech 2021 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-20
Number of pages20
ISBN (Print)9781624106095
DOIs
StatePublished - 2021
Externally publishedYes
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online
Duration: Jan 11 2021Jan 15 2021

Publication series

NameAIAA Scitech 2021 Forum

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
CityVirtual, Online
Period01/11/2101/15/21

Funding

Material presented in this paper is a product of the Air Vehicles element of the HPCMP CREATETM program. The authors would like to thank the HPCMP for the many hours of computing time that are so critical for the successful development and validation of COFFE. The authors would also like to thank their colleagues on the CREATE senior management and Kestrel teams for their support and hard work in producing the exceptional HPCMP CREATETM-AV Kestrel product. Specifically, a special thanks goes to Dr. Robert Meakin and Dr. Nathan Hariharan as well as Dr. Scott Morton, Dr. David McDaniel, Dr. Robert Nichols, and Mr. Todd Tuckey. This work was also supported by funding from the Boeing Company with technical monitor Dr. Mori Mani. The authors would like to thank Dr. Josh Krakos of the Boeing Company for his assistance with EPIC. We would also like to thank the current and past members of the SANS research group: Dr. Philip Caplan, Dr. Hugh Carson, Benjamin Couchman, Cory Frontin, Dr. Arthur Huang, Dr. Savithru Jayasinghe, and Shun Zhang. Finally, the authors would like to thank Dr. Christopher L. Rumsey, Dr. Boris Diskin, W. Kyle Anderson and all others that have helped create, contributed to, and maintain the valuable Turbulence Modeling Resource website.

FundersFunder number
HPCMP

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