High-lift system optimization based on the Kriging model using a high-fidelity flow solver

Masahiro Kanazaki, Shinkyu Jeong, Kazuomi Yamamot

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

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-todrag ratio (L/D).

Original languageEnglish
Pages (from-to)169-174
Number of pages6
JournalTransactions of the Japan Society for Aeronautical and Space Sciences
Volume49
Issue number165
DOIs
Publication statusPublished - 2006

Keywords

  • Genetic algorithm
  • High-lift system
  • Kriging model
  • Multi-element wing

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

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