@inproceedings{5d91d985017b44ad9dc3353d6f160460,
title = "Flow field data mining of Pareto-Optimal Airfoils using proper orthogonal decomposition",
abstract = "The capability of a proper-orthogonal-decomposition-based data mining approach for the analysis of flow field data of Pareto-optimal solutions is demonstrated. This method enables a designer to extract design knowledge by examining baseline data and a limited number of eigenvectors and orthogonal base vectors. The flow data analyzed herein are the pressure field data of the Pareto-optimal solutions of an aerodynamic transonic airfoil shape optimization problem. The results of the present study indicate that the proper-orthogonal- decomposition-based data mining approach is useful for extracting design knowledge from the flow field data of the Pareto-optimal solutions.",
author = "Akira Oyama and Verburg, {Paul C.} and Taku Nonomura and Hoeijmakers, {Harry W.M.} and Kozo Fujii",
year = "2010",
doi = "10.2514/6.2010-1140",
language = "English",
isbn = "9781600867392",
series = "48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
booktitle = "48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition",
}