F-111 Aircraft Fatigue Data Analysis System (AFDAS) in Service Development Progress Report Number One,

Abstract

The Aircraft Fatigue Data Analysis System (AFDAS) is a twelve channel, strain based fatigue data collection and analysis system. The RAAF have recognised that AFDAS offers significant potential improvements over fatigue meters and parametric based systems for the purpose of fatigue monitoring and structural integrity management. AFDAS has therefore been implemented on a number of aircraft types, including the F-111. The system does, however, require further development and refinement. AMRL was requested by the RAAF to provide assistance and advice on the F-ill AFDAS installation. This report details the progress made so far on the current AMRL F-111 AFDAS support activity. The activity has included aspects which are unique to the F-111 and also some aspects which have a general applicability to the AEDAS installation on other aircraft types. Significant progress has been made in the following areas: (1) Establishing why the strain sensor locations were chosen and how they relate to other locations of importance for fatigue or structural life monitoring reasons. (2) Eliminating operational errors and difficulties which decrease the integrity of the data. (3) Developing new data screening procedures which check the data for inconsistencies and invalid results. (MM)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1995
Accession Number
ADA301201

Entities

People

  • K. Walker

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Aeronautical Engineering
  • Aircrafts
  • Airframes
  • Algorithms
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Science
  • Department Of Defense
  • Monitoring
  • Recording Systems
  • Spars
  • Strain Gages
  • Structural Integrity
  • Surveys
  • Transfer Functions

Readers

  • Aerospace Test and Evaluation
  • Computational Modeling and Simulation
  • Structural Health Monitoring of Composite Structures.