Genetic optimization of target pressure distributions for inverse design methods

Shigeru Obayashi, Susumu Takanashi

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

Abstract

A Genetic Algorithm (GA) has been applied to optimize target pressure distributions for inverse design methods. Since GAs do not require any derivative information, the resulting aerodynamic optimization algorithm is robust. Once target pressure distributions are obtained, corresponding airfoil/wing geometries can be computed by an inverse design code coupled with a Navier-Stokes solver. Design examples indicate that the present optimization algorithm is efficient and that supercritical wing shapes are reproduced by the simulated evolution.

Original languageEnglish
Pages33-42
Number of pages10
Publication statusPublished - 1995 Jan 1
Event12th Computational Fluid Dynamics Conference, 1995 - San Diego, United States
Duration: 1995 Jun 191995 Jun 22

Other

Other12th Computational Fluid Dynamics Conference, 1995
CountryUnited States
CitySan Diego
Period95/6/1995/6/22

ASJC Scopus subject areas

  • Engineering(all)

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