A fatigue model to predict interlaminar damage of FRP composite laminates subjected to mode I load

In fiber-reinforced polymer (FRP) composite laminate structures operating under fluctuating stresses, interface delamination is seen as one of the significant damage mechanisms. The constant degradation of their relatively low interlaminar strength and stiffness are the primary reasons for delaminat...

Full description

Saved in:
Bibliographic Details
Main Authors: Khan, Safdar Ali, Koloor, Seyed Saeid Rahimian, Wong, King Jye, Siebert, Geralt, Tamin, Mohd. Nasir
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Online Access:http://eprints.utm.my/106474/1/MohdNasirTamin023_AFatigueModeltoPredictInterlaminarDamage.pdf
http://eprints.utm.my/106474/
http://dx.doi.org/10.3390/polym15030527
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In fiber-reinforced polymer (FRP) composite laminate structures operating under fluctuating stresses, interface delamination is seen as one of the significant damage mechanisms. The constant degradation of their relatively low interlaminar strength and stiffness are the primary reasons for delamination. This study develops an interlaminar fatigue damage model to quantify the mechanics of the damage process and address the reliability of composite structures. The model considers the failure process in two stages: (1) damage due to degradation of interlaminar elastic properties, and (2) damage due to dissipation of fracture energy through the damage evolution process. The model is examined for a case study of mode I fatigue loading of a carbon-fiber-reinforced polymer (CFRP) composite laminate. The results show that the interlaminar normal stress is confined to the crack front region, with tensile stress peaks at 70% of the interlaminar strength. Furthermore, a stable interface crack growth is predicted initially, followed by a sudden crack “jump” at 14,000 cycles. The simulation results are compared with the experimental data, with very good agreement, showing a successful validation of the fatigue model.