A Framework for Probabilistic Assessment of Fracture Mechanics Life (Preprint)

Abstract

This report was developed under a SBIR contract for topic AF103-157. The paper develops a framework for application of probabilistic methods to assess the variability in fracture mechanics life for components. The probability of failure for a component at a specific failure location is typically defined by a crack size exceeding a threshold crack size (e.g. as defined by repair or bore-scope inspection limits). The computation of the probability of failure in a predictive manner requires the ability to compute crack initiation and crack propagation life in a probabilistic manner. This paper describes the essential elements of a framework that enables the computation of probabilistic fracture mechanics life and exercises the ingredients of this framework on a benchmark problem with focus on crack growth model parameter variability. The demonstration on the benchmark problem provides insights into some of the issues that need to be considered towards the development of a rigorous probabilistic life assessment framework. Some of the practical challenges towards extending the results to complex industrial applications are highlighted as scope for future efforts.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2011
Accession Number
ADA553444

Entities

People

  • Adrian Loghin
  • Genghis Khan
  • Srikanth Akkaram

Organizations

  • GE Global Research

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Coefficients
  • Computational Science
  • Computations
  • Crack Propagation
  • Crack Tips
  • Cracks
  • Experimental Data
  • Fracture (Mechanics)
  • Geometry
  • Mechanics
  • Monte Carlo Method
  • Normal Distribution
  • Probability
  • Three Dimensional

Fields of Study

  • Engineering

Readers

  • Materials Science (Mechanical Engineering).
  • Operations Research
  • Systems Analysis and Design