Predicting Fatigue Damage of Composites Using Strength Degradation and Cumulative Damage Model (Postprint)

Abstract

This paper discusses implementation of an empirical strength and stiffness degradation scheme to predict fatigue failure and residual stiffness and strength of laminated composites. A cumulative damage accumulation approach was implemented to account for the non-constant stress levels that occur due to stress distributions arising from stiffness degradation and local failures during fatigue loading. Degradation of strength and stiffness during fatigue loading of the composite was implemented following the empirical model presented by Shokrieh and Lessard. The fatigue analysis was performed with ABAQUS finite element software employing a user-defined material subroutine (UMAT) developed for the material response. Implementation results were first verified for unidirectional laminate test cases, validated by predicting stress versus life (S-N) curves for several laminate coupons test simulations and residual strengths of Open Hole Tension (OHT) specimens subjected to constant amplitude fatigue loading.

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Document Details

Document Type
Technical Report
Publication Date
Feb 14, 2018
Accession Number
AD1049445

Entities

People

  • Arafat I. Khan
  • Ian D. Miller
  • Satchi Venkataraman

Organizations

  • San Diego State University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aging (Materials)
  • Bayesian Networks
  • Carbon Fibers
  • Composite Materials
  • Computational Science
  • Digital Data
  • Digital Information
  • Energetic Materials
  • Epoxy Composites
  • Experimental Data
  • Explosives
  • Failure Mode And Effect Analysis
  • Fatigue Tests (Mechanics)
  • Fiber Reinforced Polymers
  • Laminates
  • Material Degradation Processes
  • Materials
  • Materials Laboratories
  • Materials Testing
  • Mechanics
  • Metadata
  • Micromechanics
  • Plastic Bonded Explosives
  • Plastic Explosives
  • Shear Strength

Fields of Study

  • Engineering

Readers

  • Structural Health Monitoring of Composite Structures.