Advertisement

Rapid convergence of airfoil design problems using progressive optimization

  • A. Dadone
  • B. Grossman
Numerical Methods Communications
Part of the Lecture Notes in Physics book series (LNP, volume 515)

Abstract

An efficient formulation for the robust design optimization of compressible fluid flow problems is presented. The methodology has three essential ingredients: a highly accurate flow solver, robust and efficient design sensitivities from a discrete adjoint formulation based on a dissipative flow solver and progressive optimization, whereby a sequence of operations, containing a partially converged flow solution, followed by an adjoint solution followed by an optimization step is performed. Furthermore, the progressive optimization involves the use of progressively finer grids. The methodology is shown to be accurate, robust and highly efficient, with a converged design optimization produced in no more than the amount of computational work to perform from one to three flow analyses.

Key Words

Airfoil Inverse Design Direct Design Euler Flow 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bauer F., Garabedian P., Korn D. and Jameson A., Supercritical wing sections II. Notes in Economics and Mathematical Systems, 108 (1975).Google Scholar
  2. Dadone A., Valorani M. and Grossman B., Optimization of fluid design problems with non-smooth or noisy objective function. Comput. Fluid Dynam.’ 96, 425–431 (1996).Google Scholar
  3. Dadone A. and Grossman B., Progressive optimization of fluid dynamic design problems. AIAA paper 97–1848 (1997).Google Scholar
  4. Joh C.Y., Grossman B. and Haftka R.T., Design optimization of transonic airfoils. Engrg. Optimization 21, 1–20 (1993).Google Scholar
  5. Narducci R.P., Grossman B. and Haftka R.T., Design sensitivity algorithms for an inverse design problem involving a shock wave. Inverse Problems in Engrg. 2, 49–83 (1995).Google Scholar

Copyright information

© Springer-Verlag 1998

Authors and Affiliations

  • A. Dadone
    • 1
    • 2
  • B. Grossman
    • 1
    • 2
  1. 1.Istituto Macchine, Politecnico di BariBariItaly
  2. 2.Virginia TechDept. of Aerospace & Ocean Eng.BlacksburgUSA

Personalised recommendations