Aircraft Structural Design Geared for High Reliance on Analysis for Acceptance

Abstract

The results of an initial study of key structural areas for the design of a state-of-the-art composite fighter wing are used to highlight the fundamental changes that can be expected when aircraft acceptance considers analyses as a prime tool for demonstrating that the structure is safe for flight. For analyses to become the primary basis for accepting an aircraft structural design, a high level of confidence must be developed for the analysis methods used. The strategy investigated here is to maximize this confidence level in the use of probabilistic aircraft structural design methods rather than conventional deterministic methods. In a recent advanced lightweight aircraft structure development program, an advanced design of composite materials was created, using the latest deterministic design and manufacturing features. This composite fighter design effort provides a good benchmark for exploring the potential differences in design and testing that can be expected if probabilistic design methods are used to establish high confidence in design analysis. This present study chose two key aspects of the wing on which to investigate these differences. First examined is a local model of the cobonded joint attaching the wing box cover to the wing spars. For the second, the post-buckled design of the wing box cover is examined while subjected to the most severe maneuver load case.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADP014166

Entities

People

  • A. West
  • D. Wieland
  • H. Millwater
  • K. Griffin
  • M. Holly

Organizations

  • Southwest Research Institute

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Composite Materials
  • Composite Wings
  • Databases
  • Engineers
  • Failure Mode And Effect Analysis
  • Manufacturing
  • Mechanics
  • Military Aircraft
  • Modulus Of Elasticity
  • Probabilistic Models
  • Random Variables
  • Reliability
  • Shear Modulus
  • Spars
  • Test And Evaluation

Readers

  • Aviation Science / Aeronautics.
  • Software Engineering
  • Structural Dynamics.