Fatigue Behaviour of Glass-fiber-reinforced Polymers: Numerical Versus Experimental
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The use of composite materials, such as Glass-Fiber-Reinforced Polymers (GFRP), is raising due to their excellent characteristics. However, the knowledge on their fatigue life prediction is in a growing stage and still has a long path for further research. Among the objectives that are currently pursued, the reduction of the computational and experimental cost stands out. This paper proposes a generalization of the Serial/ parallel Rule of Mixtures technique to improve the accuracy of the crack initiation and propagation modelling in GFRP materials submitted to fatigue loading, since it is one of the most common failure phenomena. For this, the technique has been extended by developing a method to fully characterize the material reducing the experimental data and it has been adapted for the use of an advance in time strategy. A comparison of the results obtained analytically and experimentally for both GFRP and hybrid materials (Aluminium-GFRP) is presented. The results show the applicability and accuracy of the proposed methodology in this field. This work has been done within the framework of the project Fatigue4Light: Fatigue modelling and fast testing methodologies to optimize part design and to boost lightweight materials deployment in chassis parts. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101006844.
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