Probabilistic Fatigue Life Predictions of Structural Components in High-Cycle Fatigue Regimes

Abstract

A principal mode of failure of structural components in mechanical systems is fatigue. One method of predicting the probability of fatigue failure of a structural component is to determine the probability that the calculated cumulative fatigue damage index is greater than the critical damage index at failure. The cumulative fatigue damage is represented as a random variable, and the critical damage index is represented by the statistical variance of existing experimental data. A FORTRAN computer code using this failure criteria is presented, which calculates the probability of failure for a structural component in the high-cycle fatigue regime under a random stress response environment, using both the Weibull and log-normal statistical distribution models. The Weibull model has been found to be the more conservative model in the low probability of failure region, which is consistent with failure predictions between the two models using the classical failure criteria of cyclic life.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADA132425

Entities

People

  • Richard W. Lukens

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Computer Programs
  • Computers
  • Counting Methods
  • Data Science
  • Databases
  • Distribution Functions
  • Engineers
  • Experimental Data
  • Information Science
  • Mechanical Engineering
  • Plastic Explosives
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Statistical Distributions
  • Structural Components

Readers

  • Statistical inference.
  • Structural Health Monitoring of Composite Structures.