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  4. Finite element analysis of initial imperfection effects on kinking failure of unidirectional glass fiber-reinforced polymer composites
 
research article

Finite element analysis of initial imperfection effects on kinking failure of unidirectional glass fiber-reinforced polymer composites

Sun, Wei  
•
Vassilopoulos, Anastasios P.  
•
Keller, Thomas  
November 1, 2018
Composite Structures

The compressive kinking behavior of non-slender unidirectional glass fiber-reinforced polymer (GFRP) specimens has been analyzed by finite element (FE) models. The experimentally observed imperfections, including the initial fiber waviness throughout the entire specimen volume and the scattered resin/interface defects, were taken into account in the FE models. The birth-and-death method was employed to simulate the progressive damage to the material. The consideration of the coexistence of initial fiber waviness and initial resin/interface defects was found to be essential for accurate modeling of the kinking failure process. Kinking was initiated due to the disproportional increase of the fiber microbuckling at the locations of initial defects. The numerically obtained peak load, fiber microbuckling amplitudes, kink band angle and width, and compressive strain concentrations at the kink band edges were well predicted compared to the experimental results. The number of defects was less significant than the fact that defects existed that served as initiation points of the kink band formation.

  • Details
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Type
research article
DOI
10.1016/j.compstruct.2018.07.010
Web of Science ID

WOS:000443266300006

Author(s)
Sun, Wei  
Vassilopoulos, Anastasios P.  
Keller, Thomas  
Date Issued

2018-11-01

Publisher

ELSEVIER SCI LTD

Published in
Composite Structures
Volume

203

Start page

50

End page

59

Subjects

Materials Science, Composites

•

Materials Science

•

kinking failure

•

birth-and-death method

•

finite element

•

fiber microbuckling

•

initial imperfections

•

laminated composites

•

compressive failure

•

prediction

•

simulation

•

behavior

•

panels

•

model

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CCLAB  
Available on Infoscience
December 13, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/151992
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