Immersed Boundary Based Computational Fluid Dynamics Applied to Aerodynamic Design Optimization
Author:
Affiliation:
1. Graduate School of System Design, Tokyo Metropolitan University
2. School of Engineering, The University of Tokyo
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jsoft/35/1/35_556/_pdf
Reference11 articles.
1. [1] A. Oyama, S. Obayashi, K. Nakahashi, and T. Nakamura: “Transonic wing optimization using genetic algorithm,” Proc. 13th Computational Fluid Dynamics Conf., AIAA 97-1854, 1997.
2. [2] S. Obayashi, D. Sasaki, and A. Oyama: “Finding tradeoffs by using multiobjective optimization algorithms,” Trans. of the Japan Society for Aeronautical and Space Sciences, Vol.47, No.155, pp. 51-58, 2004.
3. [3] M. Kanazaki, S. Obayashi, and K. Nakahashi: “Exhaust manifold design with tapered pipes using divided range MOGA,” Engineering Optimization, Vol.36, No.2, pp. 149-163, 2004.
4. [4] M. Kanazaki, T. Sato, and K. Matsushima: “Parametric Airfoil Representation Toward Efficient Design Knowledge Discovery Under Various Flow Condition,” Trans. of the Japan Society for Aeronautical and Space Sciences, Aerospace Technology Japan, Vol.12, No.APISAT-2013, pp. a93-a98, 2014.
5. [5] Y. Tamaki, M. Harada, and T. Imamura: “Near-Wall Modification of Spalart–Allmaras Turbulence Model for Immersed Boundary Method,” AIAA J., Vol.55, No.9, pp. 3027-3039, 2017.
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