Three-dimensional aerodynamic shape optimization using genetic evolution and gradient search algorithms

Norman F. Foster, George S. Dulikravich, Jeff Bowles

Research output: Contribution to conferencePaper

Abstract

This study introduces various gradient search methods as well as hybrid genetic techniques that achieve impressive convergence rates on constrained problems. These methods are applied to threedimensional shape optimization of ogive-shaped, starshaped, and spiked projectiles and lifting bodies in a hypersonic flow. Flow field analyses are performed using Newtonian flow theory and, in certain cases verified using a parabolized Navier-Stokes (PNS) flow analysis algorithm. Three-dimensional geometrical rendering is achieved using a variety of techniques including beta-splines from the computer graphics industry.

Original languageEnglish (US)
StatePublished - Jan 1 1996
Event34th Aerospace Sciences Meeting and Exhibit, 1996 - Reno, United States
Duration: Jan 15 1996Jan 18 1996

Other

Other34th Aerospace Sciences Meeting and Exhibit, 1996
CountryUnited States
CityReno
Period1/15/961/18/96

All Science Journal Classification (ASJC) codes

  • Space and Planetary Science
  • Aerospace Engineering

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    Foster, N. F., Dulikravich, G. S., & Bowles, J. (1996). Three-dimensional aerodynamic shape optimization using genetic evolution and gradient search algorithms. Paper presented at 34th Aerospace Sciences Meeting and Exhibit, 1996, Reno, United States.