Fibre bridging effect on the Paris relation of mode I fatigue delamination in composite laminates with different thicknesses

Journal article (2017)

Authors

L. Yao Northwestern Polytechnical University, Aerospace Structures & Materials , Harbin Institute of Technology
Yi Sun Harbin Institute of Technology
Licheng Guo Harbin Institute of Technology
R.C. Alderliesten Structural Integrity & Composites - Aerospace Engineering
R. Benedictus Aerospace Structures & Materials
Meiying Zhao Northwestern Polytechnical University
Liyong Jia AVIC the First Aircraft Institute
Research Group
Structural Integrity & Composites (Aerospace Engineering) (TU Delft)
Fatigue Delamination Composite laminates Fibre bridging Thickness
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Published Date

01-10-2017

Language

English

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Faculty

Aerospace Engineering

Department

Aerospace Structures & Materials

Research Group

Structural Integrity & Composites

Abstract

Fatigue delamination with fibre bridging in composite laminates with different thicknesses was investigated. The experimental results clearly demonstrated fibre bridging had significant retardation effects on fatigue delamination behavior, making it insufficient to use a single Paris resistance curve to determine fatigue crack growth. To address this problem, the coefficients of the Paris relation were correlated to the normalized crack extension (a − a0)/Lpz. It was found that the exponent n was independent on the normalized crack extension and specimen thickness, whereas the parameter log(c) bi-linearly decreased with the normalized crack extension and kept constant once fibre bridging became saturation. And the magnitude of log(c) was independent on specimen thickness. Thus, it was concluded that fatigue delamination behavior and fibre bridging significance were independent on specimen thickness at a given normalized crack extension (a − a0)/Lpz. With substitutions of these correlations into the Paris relation, an empirical power law relation was developed to characterize fatigue delamination behavior. And its validation was verified by a comparison between predictions and experiments.