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Presentation
Application of Direct and Surrogate-Based Optimization to Two-Dimensional Benchmark Aerodynamic Problems: A Comparative Study
Proceedings of the 53rd AIAA Aerospace Sciences Meeting (2015, Kissimmee, FL)
  • Yonatan A. Tesfahunegn
  • Slawomir Koziel
  • Joe-Ray Gramanzini
  • Serhat Hosder, Missouri University of Science and Technology
  • Zhong-Hua Han
  • Leifur Leifsson
Abstract
This paper presents the results of applying direct and surrogate-based optimization (SBO) algorithms to two-dimensional aerodynamic benchmark problems, both involving transonic flow, one invisvid and the other viscous. The direct optimization methods used in this study are the adjoint-based FUN3D and Stanford University Unstructured solvers. The SBO algorithms include the SurroOpt framework, which exploits approximation-based models, the multi-level optimization (MLO) algorithm, which relies on physics-based models, as well as the adjoint-enhanced MLO algorithm. The results demonstrate that direct optimization and the approximation-based methods are able to yield designs that are comparable to those obtained with high-dimensional shape parameterization methods. Physics-based SBO shows a rapid design improvement at a low computational cost compared to the direct and the approximation-based SBO techniques, which indicates that-for certain problems-derivative-free methods may be competitive to adjoint-based algorithms when embedded in surrogate-assisted frameworks. On the other hand, global search approaches, while more expensive, exhibit the potential to produce the best quality results.
Meeting Name
53rd AIAA Aerospace Sciences Meeting (2015: Jan. 5-9, Kissimmee, FL)
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Keywords and Phrases
  • Aerodynamics,
  • Aerospace Engineering,
  • Algorithms,
  • Approximation Algorithms,
  • Benchmarking,
  • Comparative Studies,
  • Computational Costs,
  • Derivative-Free Methods,
  • Global Search Approach,
  • Multilevel Optimization,
  • Physics-Based Models,
  • Shape Parameterization,
  • Surrogate-Based Optimization,
  • Optimization
International Standard Book Number (ISBN)
9781624103438
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
Publication Date
1-1-2015
Citation Information
Yonatan A. Tesfahunegn, Slawomir Koziel, Joe-Ray Gramanzini, Serhat Hosder, et al.. "Application of Direct and Surrogate-Based Optimization to Two-Dimensional Benchmark Aerodynamic Problems: A Comparative Study" Proceedings of the 53rd AIAA Aerospace Sciences Meeting (2015, Kissimmee, FL) (2015)
Available at: http://works.bepress.com/leifur-leifsson/12/