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  4. Fracture mechanics-based progressive damage modelling of adhesively bonded fibre-reinforced polymer joints
 
research article

Fracture mechanics-based progressive damage modelling of adhesively bonded fibre-reinforced polymer joints

Cameselle-Molares, Aida
•
Sarfaraz, Roohollah  
•
Shahverdi, Moslem  
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2017
Fatigue & Fracture of Engineering Materials & Structures

A quasi-static progressive damage model for prediction of the fracture behaviour and strength of adhesively bonded fibre-reinforced polymer joints is introduced in this paper. The model is based on the development of a mixed-mode failure criterion as a function of a master R-curve derived from the experimental results obtained from standard fracture mechanics joints. Consequently, the developed failure criterion is crack-length and mode-mixity dependent, and it takes into account the contribution of the fibre-bridging effect. Energy release rate values for adhesively bonded double-lap joints are obtained by using the virtual crack closure technique method in a finite element model, and the numerically obtained strain energy release rate is compared to the critical strain energy release rate given by the mixed-mode failure criterion. The entire procedure is implemented in a numerical algorithm, which was successfully used for predicting the strength and R-curve response of adhesively bonded double-lap structural joints made of pultruded glass fibre-reinforced polymers and epoxy adhesives.

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Type
research article
DOI
10.1111/ffe.12647
Web of Science ID

WOS:000414566700019

Author(s)
Cameselle-Molares, Aida
Sarfaraz, Roohollah  
Shahverdi, Moslem  
Keller, Thomas  
Vassilopoulos, Anastasios P.  
Date Issued

2017

Publisher

Wiley

Published in
Fatigue & Fracture of Engineering Materials & Structures
Volume

40

Issue

12

Start page

2183

End page

2193

Subjects

composite joints

•

fracture failure criterion

•

mixed-mode fracture

•

numerical modelling

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CCLAB  
Available on Infoscience
December 4, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/142529
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