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.
|Number of pages||10|
|Publication status||Published - 1995|
|Event||12th Computational Fluid Dynamics Conference, 1995 - San Diego, United States|
Duration: 1995 Jun 19 → 1995 Jun 22
|Other||12th Computational Fluid Dynamics Conference, 1995|
|Period||95/6/19 → 95/6/22|
ASJC Scopus subject areas