Transonic wing optimization using genetic algorithm

A. Oyama, Shigeru Obayashi, K. Nakahashi, T. Nakamura

Research output: Contribution to conferencePaperpeer-review

8 Citations (Scopus)

Abstract

A Genetic Algorithm (GA) has been applied to optimize a transonic wing shape for generic transport aircraft. A three-dimensional compressible Navier-Stokes (N-S) solver is used to evaluate aerodynamic performance. The N-S evaluation is parallelized on Numerical Wind Tunnel (NWT) at National Aerospace Laboratory in Japan, a parallel vector machine with 166 processing elements. Designed wings show a tradeoff between an increase of the airfoil thickness driven by a structural constraint and a reduction of the wave drag produced by a shock wave. The present result indicates that GA has found a best feasible solution in the given design constraints.

Original languageEnglish
Publication statusPublished - 1997 Jan 1
Event13th Computational Fluid Dynamics Conference, 1997 - Snowmass Village, United States
Duration: 1997 Jun 291997 Jul 2

Other

Other13th Computational Fluid Dynamics Conference, 1997
Country/TerritoryUnited States
CitySnowmass Village
Period97/6/2997/7/2

ASJC Scopus subject areas

  • Engineering(all)

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