Process for Refining and Validating a Finite Element Model of an Experimental High-Altitude, Long-Endurance (HALE) Aircraft

Abstract

The work presented here focuses on finite element (FE) modeling of X-HALE, a test aircraft designed and built by the University of Michigan, in conjunction with the Air Force Institute of Technology (AFIT) and Air Force Research Laboratory (AFRL). This scaled vehicle is representative of high-altitude, long-endurance (HALE) aircraft and was designed to provide controlled aeroelastic and flight data. FE models of portions of the X-HALE wing structure were created and analysis results were compared against two separate laboratory static bending tests conducted on X-HALE wing sections. The process documented here should improve future efforts to refine FE models of X-HALE. Improved modeling techniques will help design and test X-HALE to provide data for future designs of HALE aircraft and will also help to validate coupled nonlinear aeroelastic and flight dynamic codes. Results of the FE models created indicate the manufactured wing structure possesses material properties close to those expected of the composite materials used in its design. However, the results also suggest additional focus is required to accurately model the wing joint region of the X-HALE structure, with specific attention paid to the joiner piece which connects the wing sections together.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2011
Accession Number
ADA545241

Entities

People

  • Nicholas A. Sinnokrak

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircraft Equipment
  • Aircrafts
  • Composite Materials
  • Control Systems
  • Coordinate Systems
  • Geometry
  • High Altitude
  • Materials
  • Modulus Of Elasticity
  • Remotely Piloted Vehicles
  • Strain Gages
  • United States
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Allergy and Immunology.
  • Computational Modeling and Simulation
  • Structural Dynamics.