Transition Region for Corner Cracks at Holes.

Abstract

This study develops correction factors for currently used stress intensity factor equations to more accurately predict stress intensity factors for a corner-crack emanating from a hole as it transitions to a uniform through-the-thickness crack. These correction factors resulted in an increase in accuracy for total life prediction and much better correlation between analytical stress intensity factor predictions and experimental results in the transition region for 2024-T351 and 7075-T651 aluminum alloys. An experimental program was undertaken to generate all 2024-T351 aluminum test data. The 7075-T651 aluminum test data was generated during earlier work. Correction factors developed by Opel for 7075-T651 aluminum were evaluated for 2024-T351 aluminum and found to be excessively conservative. Hartranft and Sih suggested the stress intensity factors be evaluated at an imaginary surface at an angle phi away from the front and hole-bore surfaces. These stress intensity factors could then be used in the life prediction models for life from a corner-crack until back surface penetration. Life predictions were made using the new model, an instantaneous model (which assumes a through-crack at back surface penetration), Opel's model, Brussat's model and the Collipriest-Ehret model. Keywords include: Cracks, Crack propagation, Cracking (Fracturing).

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1984
Accession Number
ADA151835

Entities

People

  • P. A. Chansler

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Cyber
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Aeronautical Engineering
  • Aerospace Industry
  • Air Force
  • Air Force Facilities
  • Aluminum Alloys
  • Computer Programs
  • Engineering
  • Experimental Data
  • Failure Mode And Effect Analysis
  • Geometry
  • Measurement
  • Mechanics
  • Shape
  • Stress Intensity Factors
  • Test Facilities
  • United States

Readers

  • Image Processing and Computer Vision.
  • Space/Atmospheric Physics.
  • Structural Health Monitoring of Composite Structures.