A Wide Range K Expression for the C-Shaped Specimen

Abstract

A new expression has been developed to calculate K for the C-shaped specimen over a wider range of specimen parameters, namely a/W, X/W, and r sub 1/r sub 2 than had previously been available. The rationale used to derive the expression was to utilize known stress intensity factor solutions for short and deep cracks to develop a nondimensional form of K which approaches finite values as a/W goes to both zero and one. Numerical K solution results from prior work were then nondimensionalized to this form with the finite limiting values, and the dependent of K on a/W was determined by multi-variable, linear regression. The final expression agrees with the numerical K solutions within plus or minus 1.0% for .45 less than or equal to a/W less than or equal to .55 for all r sub 1/r sub 2 and X/W of either 0 or .5; within plus or minus 1.5% for .2 less than or equal to a/W less than or equal to 1 for all r sub 1/r sub 2 and X/W equal to 0 or .5; and within about plus or minus 3% for .2 less than or equal to a/W less than or equal to 1 for all r sub 1/r sub 2 and 0 less than or equal to X/W less than or equal to 1. The accuracy of this expression will allow expanded use of the C-shaped specimen for R-curve determination and fatigue crack growth rate testing.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1980
Accession Number
ADA085719

Entities

People

  • J. A. Kapp
  • J. C. Newman Jr.
  • John H. Underwood

Organizations

  • United States Army Armament Research, Development and Engineering Center

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Bending Moments
  • Bending Stress
  • Curvature
  • Equations
  • Fracture (Mechanics)
  • Geometry
  • Intensity
  • Materials
  • Mechanical Properties
  • Mechanics
  • Military Research
  • Standards
  • Stress Intensity Factors
  • Stresses
  • Test Methods
  • Weapon Systems

Readers

  • Calculus or Mathematical Analysis
  • Materials Science (Mechanical Engineering).
  • Regression Analysis.