Keywords and Phrases
Adjoint-Based; BandAids; FUN3D; MASSOUD; Shape Optimization
"The primary focus of this work is efficient aerodynamic shape optimization in transonic flow. Adjoint-based optimization techniques are employed on airfoil sections and evaluated in terms of computational accuracy as well as efficiency. This study examines two test cases proposed by the AIAA Aerodynamic Design Optimization Discussion Group. The first is a two-dimensional, transonic, inviscid, non-lifting optimization of a Modified-NACA 0012 airfoil. The second is a two-dimensional, transonic, viscous optimization problem using a RAE 2822 airfoil. The FUN3D CFD code of NASA Langley Research Center is used as the ow solver for the gradient-based optimization cases. Two shape parameterization techniques are employed to study their effect and the number of design variables on the final optimized shape: Multidisciplinary Aerodynamic-Structural Shape Optimization Using Deformation (MASSOUD) and the BandAids free-form deformation technique. For the two airfoil cases, angle of attack is treated as a global design variable. The thickness and camber distributions are the local design variables for MASSOUD, and selected airfoil surface grid points are the local design variables for BandAids. Using the MASSOUD technique, a drag reduction of 72.14% is achieved for the NACA 0012 case, reducing the total number of drag counts from 473.91 to 130.59. Employing the BandAids technique yields a 78.67% drag reduction, from 473.91 to 99.98. The RAE 2822 case exhibited a drag reduction from 217.79 to 132.79 counts, a 39.05% decrease using BandAids."--Abstract, page iii.
Riggins, David W.
Isaac, Kakkattukuzhy M.
Mechanical and Aerospace Engineering
M.S. in Aerospace Engineering
Missouri Space Grant Consortium
Missouri University of Science and Technology
xi, 63 pages
© 2015 Joe-Ray Gramanzini, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Aerofoils -- Design
Electronic OCLC #
Gramanzini, Joe-Ray, "Adjoint-based airfoil shape optimization in transonic flow" (2015). Masters Theses. 7433.