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Article Information:
An Improved Parallel Optimization Framework for Transonic Airfoil Design
Mohammad Kashif Zahir and Zhenghong GAO
Corresponding Author: Mohammad Kashif Zahir
Submitted: September 12, 2012
Accepted: October 09, 2012
Published: May 25, 2013 |
Abstract:
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Variable Fidelity Optimization (VFO) is used to obtain a minimum drag transonic airfoil, at constant lift, subject to thickness and pitching moment constraints using several low fidelity solvers. VFO has emerged as an attractive method of performing, both, high-speed and high-fidelity optimization. VFO uses computationally inexpensive low-fidelity models, complemented by a surrogate to account for the difference between the high- and low-fidelity models, to obtain the optimum of the function efficiently and accurately. The authors’ original Variable Fidelity (VF) framework is modified for increased efficiency and accuracy by incorporating parallel evaluation and more constraints to the optimization problem. The method is found to be efficient and capable of finding the optimum that closely agrees with the results of high-fidelity optimization alone.
Key words: Airfoil optimization, Hicks-Henne, Kriging, parallel processing, surrogate models, variable-fidelity,
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Cite this Reference:
Mohammad Kashif Zahir and Zhenghong GAO, . An Improved Parallel Optimization Framework for Transonic Airfoil Design. Research Journal of Applied Sciences, Engineering and Technology, (22): 5209-5216.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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