Probabilistic Fretting Fatigue Life Prediction of Ti-6Al-4V (PREPRINT)

Abstract

A probabilistic analysis of the fatigue life of specimens subject to fretting fatigue was developed. A mechanics based fretting life analysis was applied that employed the local stress gradient at the edge of contact. The random variables in the analysis included the initial crack size, coefficient of friction, crack growth rate law, and the contact pad profile. The variation in pad profiles was determined through measurement of seventy-seven machined pads. Distributions for the other random variables were obtained using previously generated test data. A probabilistic fatigue analysis was applied using Monte Carlo sampling to determine the statistics (mean and standard deviation) of the fatigue life prediction and was compared to fretting fatigue test data. Several qualitative and quantitative sensitivity methods were applied to the results including the calculation of the probabilistic sensitivities (partial derivatives of the fatigue life statistics with respect to the input probability density function parameters) via linear regression and finite difference.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA520899

Entities

People

  • Harry R. Millwater
  • Patrick J. Golden
  • Xiaobin Yang

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Computational Science
  • Data Science
  • Fatigue Life
  • Fatigue Tests (Mechanics)
  • Finite Element Analysis
  • Fracture (Mechanics)
  • Geometry
  • Information Science
  • Measurement
  • Mechanics
  • Probability
  • Random Variables
  • Sensitivity
  • Statistical Analysis
  • Two Dimensional

Readers

  • Statistical inference.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).