Aerodynamic Shape Optimization of Two-dimensional Airfoils Under Uncertain Conditions

Abstract

Practical experience with airfoil optimization techniques has revealed unexpected difficulties. Traditionally the performance of an airfoil is optimized for given, or assumed, model parameters. Experience has indicated that a deterministic optimization for discrete operating conditions may result in dramatically inferior performance when the actual conditions are difficulties different from these, somewhat arbitrarily chosen, design values. Extensions to multi-point optimization have proven unable to adequately remedy the problem of "localized optimization". This paper presents an intrinsically statistical approach and demonstrates how the shortcomings of multi-point optimization with respect to "localized optimization" can be overcome.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA386270

Entities

People

  • Luc Huyse
  • Rupert Lewis

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Aeronautics
  • Algorithms
  • Computational Fluid Dynamics
  • Computational Science
  • Decision Theory
  • Drag Reduction
  • Euler Equations
  • Geometry
  • Integrals
  • Mach Number
  • Mathematical Models
  • Models
  • Pressure Distribution
  • Probability
  • Probability Density Functions
  • Random Variables
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Aerodynamics/Aeronautics.
  • Operations Research
  • Systems Analysis and Design