Multi-Objective Aeroelastic Optimization

Abstract

The present work is aiming at an aeroelastic analysis of the X31 delta wing and particularly at the aeroelastic optimization problem of maximizing the aerodynamic roll rate and minimizing the structural weight at supersonic flow speeds. Results are achieved by means of a multi-objective genetic algorithm (GA) utilizing a GUI-supported software being a developed in the European-Union funded ESPRIT project FRONTIER.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADP010520

Entities

People

  • M. Stettner
  • W. Haase

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Aerodynamic Configurations
  • Aircraft Design
  • Aircrafts
  • Algorithms
  • Computational Fluid Dynamics
  • Computer Programs
  • Control Surfaces
  • Delta Wings
  • Flow
  • Genetic Algorithms
  • Geometry
  • Leading Edge Flaps
  • Leading Edges
  • Military Aircraft
  • Multiobjective Optimization
  • Optimization
  • Surfaces

Fields of Study

  • Physics

Readers

  • Aerodynamics/Aeronautics.
  • European Security and Defence Policy (ESDP).
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology
  • Hypersonics