Structural Life Prediction and Analysis Technology.

Abstract

An improved low cycle fatigue (LCF) life exhaustion method has been developed for gas turbine engine disks subjected to complex mission history loading. The method has been incorporated into a computer program for LCF life exhaustion prediction as a function of component, material, mission history, and mission ordering. Principal advances in LCF life modeling include a simple strain range-mean stress correlation model, a predictive model for the effects of strain hardened surface layers due to machining and the effects of dwell (creep) due to elevated temperature exposure time, a fracture mechanics-based nonlinear, cumulative damage model, a statistical basis for minimum part life prediction, and full-scale component verification. Simplified procedures for nonlinear stress (strain) analysis of notches were developed and calibrated with finite element results. Recommendations for further research emphasize the need for improved constitutive models of cyclic creep/plasticity, a better definition of the effects of various machining operations on material work hardening, as well as residual stresses. Calibrated models for small flaw fracture mechanics would benefit the definition of the cumulative damage algorithm. Finally, the need to control process variability in order to improve part life is emphasized. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA070935

Entities

People

  • T. A. Cruse
  • T. G. Meyer

Organizations

  • Pratt & Whitney

Tags

Communities of Interest

  • Air Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Computer Programs
  • Creep
  • Data Sets
  • Databases
  • Fatigue Life
  • Fracture (Mechanics)
  • Materials
  • Mechanical Working
  • Mechanics
  • Regression Analysis
  • Stress Strain Relations
  • Stresses
  • Temperature Gradients
  • Test And Evaluation
  • Turbines

Readers

  • Computational Modeling and Simulation
  • Materials Science (Mechanical Engineering).