High-Lift System Optimization Based on the Kriging Model Using a High-Fidelity Flow Solver

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In this paper, the design optimization procedure of a three-element wing setting is discussed. The positions of elements are determined using a response surface method based on the Kriging model. The Kriging model is updated based on expected improvement (EI) value maximization in the design space using a distributed genetic algorithm (DGA). Sample points for the Kriging model are evaluated using Reynolds Averaged Navier-Stokes simulation (RANS). The present method is applied successfully for the optimization, where the objective function is to maximize the lift-to-drag ratio (<I>L</I>⁄<I>D</I>).

収録刊行物

  • Transactions of the Japan Society for Aeronautical and Space Sciences

    Transactions of the Japan Society for Aeronautical and Space Sciences 49(165), 169-174, 2006-11-04

    THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES

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各種コード

  • NII論文ID(NAID)
    10018428195
  • NII書誌ID(NCID)
    AA0086707X
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    05493811
  • NDL 記事登録ID
    8537247
  • NDL 雑誌分類
    ZN25(科学技術--運輸工学--航空機・ロケット)
  • NDL 請求記号
    Z53-M236
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
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