Status and Prospects of Computational Fluid Dynamics for Unsteady Transonic Viscous Flows.

Abstract

Applications of computational aerodynamics to aeronautical research, design, and analysis have increased rapidly over the past decade, and these applications offer significant benefits to aeroelasticians. This paper traces the past developments by means of a number of specific examples, and projects the trends over the next several years. The crucial factors that limit the present capabilities for unsteady analyses are identified; they include computer speed and memory, algorithm and solution methods, grid generation, turbulence modeling, vortex modeling, data processing, and coupling of the aerodynamic and structural dynamic analyses. The prospects for overcoming these limitations are presented, and many improvements appear to be readily attainable. If so, a complete and reliable numerical simulation of the unsteady, transonic viscous flow around a realistic fighter aircraft configuration could become possible within the next decade. The possibilities of using artificial intelligence concepts to hasten the achievement of this goal are also discussed. Key words include: Flutter predictions; Oscillating wings; and Unsteady computational aerodynamics.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1984
Accession Number
ADA150362

Entities

People

  • J. O. Bridgeman
  • P. Kutler
  • W. J. Mccroskey

Organizations

  • Ames Research Center

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aerodynamic Characteristics
  • Aerodynamic Configurations
  • Aeroelasticity
  • Aircraft Industry
  • Aircrafts
  • Airframes
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Computers
  • Differential Equations
  • Floating Point Operations
  • Fluid Dynamics
  • Fluid Flow
  • Frequency
  • Three Dimensional
  • Viscous Flow

Fields of Study

  • Physics

Readers

  • Aerodynamics.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms