Conventional and Probabilistic Fatigue Life Prediction Methodologies Relevant to the P-3C Aircraft.

Abstract

This thesis investigates conventional and probabilistic methodologies for predicting the fatigue life of critical components in the P-3C aircraft. A probabilistic damage convolution model was developed with the intent of providing quantitative predictions of life-variability. Traditional methodologies, which are based nominally on median values, lack the capacity to adequately assess variability. Aluminum 7075-T6 was tested using a fatigue Material Test System. A fatigue data base was compiled from tests conducted at the Naval Postgraduate School and from literature sources.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1997
Accession Number
ADA331792

Entities

People

  • Todd R. Kousky

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • C4I

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircrafts
  • Composite Materials
  • Computer Programs
  • Databases
  • Failure Mode And Effect Analysis
  • Fatigue Life
  • Information Theory
  • Materials
  • Mechanics
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Structural Components
  • Test And Evaluation
  • Three Dimensional

Readers

  • Computational Modeling and Simulation
  • Structural Health Monitoring of Composite Structures.
  • Systems Analysis and Design