The Mean vs Life-Limiting Fatigue Response of a Ni-Base Superalloy, Part 2: Life Prediction Methodology (Preprint)

Abstract

In Part 1, we showed that the mean fatigue behavior of IN100 separates from the life-limiting response as stress level is decreased. This separation of lifetimes was suggested to be related to the development of heterogeneity levels of local deformation that produce sequential occurrence of "short-lifetime" and the "mean-lifetime" dominating mechanisms. In the current paper, we show that the distribution in the life-limiting mechanism is controlled by small-crack growth from the relevant microstructural scale in the surface region, which explains the significantly less sensitive response of the lower-tail to the stress level, relative to the mean-lifetime behavior. We, therefore, describe the lifetime distribution in terms of superposition of the crack-growth-lifetime probability density and a mean-dominating density. Strategies for obtaining these probability density functions are discussed. A probabilistic life-prediction method is derived from this description and shown to provide significantly better representation of the lower-tail fatigue lifetime behavior, as compared to the traditional approach, and more reliable predictions of the probabilistic lifetime limit as a function of stress level.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2008
Accession Number
ADA504261

Entities

People

  • James M. Larsen
  • M. J. Caton
  • Sushant K. Jha

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Alloys
  • Data Science
  • Failure Mode And Effect Analysis
  • Information Science
  • Materials
  • Military Research
  • Probability
  • Probability Density Functions
  • Random Variables
  • Statistical Analysis
  • Stresses
  • Superalloys
  • Turbines
  • United States

Readers

  • Regression Analysis.
  • Structural Health Monitoring of Composite Structures.