Notched Strength Prediction of Composite Materials Using Weibull-Type Integrals for Uniaxial and Biaxial Loading,

Abstract

The Weibull distribution model for brittle fracture is applied to a hole size study in uniaxial tension and to a study in biaxial tension. This application of the Weibull model uses a numerical integration of stress functions across a high-failure-risk volume. The results for uniaxial tension indicate a hole size effect which agrees in form with the "point-stress" or characteristic dimension theory. The uniaxial strength predictions based on Weibull theory are uniformly conservative. The predictions also show increasing notch sensitivity as the material becomes more "perfect", that is, has fewer and smaller inherent flaws. The biaxial Weibull study accurately predicts the failure mode and the strengthening effect of biaxial tension. The biaxial strength predictions are also generally conservative. The Weibull distribution model for brittle fracture is applied to a hole size study in uniaxial tension and to a study in biaxial tension. This application of the Weibull model uses a numerical integration of stress functions across a high-failure-risk volume. The results for uniaxial tension indicate a hole size effect which agrees in form with the "point-stress" or characteristic dimension theory. The uniaxial strength predictions based on Weibull theory are uniformly conservative. The predictions also show increasing notch sensitivity as the material becomes more "perfect", that is, has fewer and smaller inherent flaws. The biaxial Weibull study accurately predicts the failure mode and the strengthening effect of biaxial tension. The biaxial strength predictions are also generally conservative. (MM)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA305258

Entities

People

  • Robert C. Wetherhold

Organizations

  • University of Delaware

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Composite Materials
  • Computational Science
  • Data Analysis
  • Databases
  • Distribution Functions
  • Epoxy Laminates
  • Far Field
  • Geometry
  • Information Science
  • Laminates
  • Materials
  • Materials Processing
  • Notch Sensitivity
  • Numerical Integration
  • Probability
  • Random Variables
  • Statistics

Readers

  • Computational Modeling and Simulation
  • Reinforced Composite Materials
  • Structural Dynamics.