Cohesive fracture modeling of crack growth in thick-section composites

  • Rami Haj-Ali*
  • , Rani El-Hajjar
  • , Anastasia Muliana
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

This paper presents a combined method for modeling the mode-I and II crack growth behavior in thick-section fiber reinforced polymeric composites having a nonlinear material response. The experimental part of this study includes crack growth tests of a thick composite material system manufactured using the pultrusion process. It consists of alternating layers of E-glass unidirectional roving and continuous filament mats in a polymeric matrix. Integrated micromechanical and cohesive finite element (FE) models are used to simulate the crack growth response in eccentrically loaded single-edge-notch, (tension), ESE(T) and notched butterfly specimens. Micromechanical constitutive models for the mat and the roving layers are used to generate the effective nonlinear material behavior from the in situ fiber and matrix responses. The validity of the numerical modeling approach before the onset of crack growth is investigated using an infrared thermal method. Cohesive FE models are calibrated and used to simulate the complete crack growth behavior for different crack configurations. The proposed integrated framework of multi-scale material models with cohesive fracture models is shown to be an effective method for predicting the structural and material responses including failure load and crack growth in thick-section fiber reinforced polymeric composites.

Original languageEnglish
Pages (from-to)2192-2209
Number of pages18
JournalEngineering Fracture Mechanics
Volume73
Issue number15
DOIs
StatePublished - Oct 2006
Externally publishedYes

Funding

FundersFunder number
Civil and Mechanical Systems0546528, 0621696
National Science Foundation

    Fingerprint

    Dive into the research topics of 'Cohesive fracture modeling of crack growth in thick-section composites'. Together they form a unique fingerprint.

    Cite this