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Towards Aerodynamic Shape Optimization Using an Immersed Boundary Overset Grid MethodTraditional Reynolds-averaged Navier-Stokes grid methods applied to aerodynamic shapeoptimization can struggle with the deformation of surface and volume grids at componentintersections, such as at wing-fuselage junctions. To overcome this, we propose an approachwhich utilizes curvilinear overset grids for the discretization of the domain, with the presenceof the body modeled using an immersed boundary method. This approach handles complexgeometries without the need for their explicit integration into the grid. The goal of this approachis to reduce grid generation time and allow for greater geometric freedom for component-basedaerodynamic shape optimization. Two different methods are presented: a source-term-basedand a ghost-node-based immersed boundary method. Flow analyses and adjoint solutionsobtained using the proposed methods show promising comparisons with standard body-fittedgrid methods. Preliminary aerodynamic shape optimization results obtained using one of theimmersed boundary methods are also presented.
Document ID
20240008173
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Brandon M Lowe
(Science and Technology Corp. Moffett Field, CA, United States)
Chase P Ashby
(Ames Research Center Mountain View, United States)
James R L Koch
(Ames Research Center Mountain View, United States)
David A Craig Penner
(Science and Technology Corp. Moffett Field, CA, United States)
Jeffrey A Housman
(Science and Technology Corp. Moffett Field, CA, United States)
Jared C Duensing
(Ames Research Center Mountain View, United States)
Date Acquired
June 26, 2024
Subject Category
Aeronautics (General)
Meeting Information
Meeting: AIAA Aviation Forum 2024
Location: Las Vegas, NV
Country: US
Start Date: July 29, 2024
End Date: August 2, 2024
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 109492.02.01.09.01
WBS: 533127.02.22.01.05
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
TTT
CAS
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