Computational Methods for Aerodynamic Design (Inverse) and Optimization

Abstract

Computational Fluid Dynamics (CFD) plays an increasingly important role in the aerodynamic design of flight vehicles. The main reasons for this are the rapid developments in computer hardware and solution algorithms in combination with the increasing requirements (and potential) for improving aerodynamic quality and reducing design cycle time and cost. This meeting focused on those CFD-based methods which address the problem of design for given aerodynamic characteristics in a direct sense. Examples are 'inverse' methods which provide the detailed geometry required to generate a given pressure distribution and methods using numerical optimization techniques to obtain the geometry that minimizes, subject to constraints, a given aerodynamic objective function such as drag, load distribution, etc. This volume consists of 23 papers: 3 invited/survey papers; Inverse methods -- Airfoils and wings (5 papers) and Turbomachinery (6 papers; and Numerical optimization techniques (9 papers). These proceedings also contain the Round Table Discussion conducted at the conclusion of the meeting. Keywords: Airfoils/computer-aided design symposia; Aerodynamic characteristics/optimization; Transonic airfoils; Navier stokes equations; Turbine blades; Lifting surfaces; Compressors/turbines; Turbomachinery intakes/ducts; Numerical analysis.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1990
Accession Number
ADA220870

Entities

Organizations

  • AGARD

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerodynamic Characteristics
  • Aerodynamic Configurations
  • Aircraft Equipment
  • Aircraft Industry
  • Aircrafts
  • Airframes
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Differential Equations
  • Flow Visualization
  • Fluid Dynamics
  • Geometry
  • Hydrodynamics
  • Stratified Fluids
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering
  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics and Fluid Dynamics.