Microstructure-Sensitive Extreme Value Probabilities for High Cycle Fatigue of Ni-Base Superalloy IN100 (Preprint)

Abstract

To quantify the effects of interactions between various microstructure attributes on fatigue life in the high cycle fatigue (HCF) regime, we have proposed a new microstructure-sensitive extreme value statistical framework. This framework couples the extreme value distributions of certain fatigue indicator parameters (FIPs) or response functions to the correlated microstructure attributes that exist at the extreme value locations of these FIPs. We demonstrate the application of this statistical framework to investigate the microstructure-sensitive fatigue response of the PM Ni-base superalloy IN100. To accomplish this task, we construct statistical volume elements (SVEs) used to compute the local response for 200 instantiations of IN100. These SVEs are constructed and simulated via the finite element method with state-of-the-art crystal plasticity constitutive relations. The results of the simulations are used to explore various extreme value statistics of the FIPs for these microstructures.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA502689

Entities

People

  • Craig Przybyla
  • David L. Mcdowell

Organizations

  • Air Force Research Laboratory

Tags

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Alloys
  • Crystal Structure
  • Crystals
  • Distribution Functions
  • Failure Mode And Effect Analysis
  • Fatigue Life
  • Grain Size
  • Information Science
  • Materials
  • Mechanical Engineering
  • Microstructure
  • Probability
  • Simulations
  • Statistics
  • Turbines

Readers

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