Development of the Microstructure Based Stochastic Life Prediction Models

Abstract

This study explores the methods of incorporating material microstructural characteristics into the fatigue life prediction models based on the results of the microstructural characterizations and fatigue testing of aluminum 7050-T7451 plate alloys. The emphases in the microstructural characterization part of the program are on the identification of the fatigue-relevant microstructural features and on the characterizations of the microstructural gradients. The characterizations are carried out using both the standard and novel techniques such as tessellation, fractal and modified linear intercept methods. The key measurement is determination of the size distributions of the fatigue crack initiating flaws -- they are assumed equal to the extreme value distributions of the micropore and/or constituent particle size distributions measured on the metallographic sections.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA270453

Entities

People

  • A. K. Vasudevan
  • M. A. Przystupa

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Alloys
  • Aluminum
  • Aluminum Alloys
  • Engineering
  • Fatigue Life
  • Grain Boundaries
  • Markov Chains
  • Materials
  • Materials Engineering
  • Materials Science
  • Microstructure
  • Particle Size
  • Particles
  • Random Variables
  • Spatial Distribution
  • Surface Roughness

Fields of Study

  • Materials science

Readers

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