Transonic wing optimization using genetic algorithm

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

Transonic wing optimization using genetic algorithm

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

Creative Flow Research Division

Research output: Contribution to conference › Paper › peer-review

10 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 language	English
Publication status	Published - 1997 Jan 1
Event	13th Computational Fluid Dynamics Conference, 1997 - Snowmass Village, United States Duration: 1997 Jun 29 → 1997 Jul 2

Other

Other	13th Computational Fluid Dynamics Conference, 1997
Country/Territory	United States
City	Snowmass Village
Period	97/6/29 → 97/7/2

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "Transonic wing optimization using genetic algorithm",

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.",

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T1 - Transonic wing optimization using genetic algorithm

AU - Oyama, A.

AU - Obayashi, Shigeru

AU - Nakahashi, K.

AU - Nakamura, T.

PY - 1997/1/1

Y1 - 1997/1/1

N2 - 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.

AB - 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.

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M3 - Paper

AN - SCOPUS:84982318033

T2 - 13th Computational Fluid Dynamics Conference, 1997

Y2 - 29 June 1997 through 2 July 1997

ER -

Transonic wing optimization using genetic algorithm

Abstract

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ASJC Scopus subject areas

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