Microstructure-Based Fatigue Life Prediction Methods for Naval Steel Structures

Abstract

The goal of the subject program is to develop fundamental understandings of the relationships between microstructure and fatigue damage in structural steels of interest to naval applications. Quantitative descriptions of these relationships will be incorporated within practical engineering models for the prediction of S-N fatigue life. During the second year of the program, microstructural scaling laws have been developed for fatigue crack growth (FCG) in steels. The effects of microstructure have been described by a dimensionless microstructural parameter which is defined in terms of yield stress, fatigue ductility, dislocation cell size, and dislocation barrier spacing. Fatigue crack growth data from large and small flaws have been critically compared, and the implications of this comparison for engineering fatigue life prediction are explored. Progress in the development of probabilistic fatigue life models is also summarized. HSLA Steels, Fatigue life, Fatigue crack growth, Small cracks, Modeling, Microstructure, Copper precipitates, Probabilistic fracture mechanics.

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Document Details

Document Type
Technical Report
Publication Date
Jul 15, 1993
Accession Number
ADA269485

Entities

People

  • K. S. Chan
  • R. C. Mcclung
  • T. Y. Torng

Organizations

  • Southwest Research Institute

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Computational Science
  • Data Science
  • Databases
  • Distribution Functions
  • Engineering
  • Fatigue Life
  • Fracture (Mechanics)
  • Geometry
  • Information Processing
  • Information Science
  • Mechanics
  • Normal Distribution
  • Probabilistic Models
  • Probability Distributions
  • Random Variables
  • Scaling Laws
  • Submarine Hulls

Fields of Study

  • Materials science

Readers

  • Materials Science (Mechanical Engineering).
  • Structural Health Monitoring of Composite Structures.

Technology Areas

  • Space