ECCOMAS 2024

Numerical and Experimental investigation of thin-ply laminate under fatigue loading

  • Tariq, Muzzamil (Leibniz University of Hannover)
  • Scheffler, Sven (Leibniz University of Hannover)
  • Nair, Anilkumar (Leibniz University of Hannover)
  • Rolfes, Raimund (Leibniz University of Hannover)

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Thin-ply (TP) carbon composites (ply thickness ≤100µm) are gaining rapid interest in several high-tech industries, including aviation and aerospace, as numerous studies indicate their enhanced mechanical performance [1]. This focus on the TP laminate is motivated by superior tensile, compression, flexural strength, and damage resistance under quasi-static and dynamic loading as compared to conventional laminates. The carbon composites with a ply-thickness of as low as 20µm are commercially available. With the growing prevalence of TP-laminates, due to the significant improvement in the automatization of manufacturing processes and the design freedom offered, there is a requirement for a simulation tool to predict their mechanical behavior, especially under cyclic loading. Investigation of fatigue life behavior of fiber-reinforced plastic has always been a challenging and comprehensive process. However, the study becomes more extensive if we consider the ply thickness as a parameter in the fatigue analysis. This is an important step in widening the applications of TP laminates. In this study, an energy-based advanced progressive fatigue damage model (FDM) [2] has been employed to simulate the fatigue life behavior of the TP laminates. To account for the ply thickness effects, the energy-based FDM has been refined further in his study. Initially, the damage evolution was observed in TP composites with a progressive increase in ply-thickness by utilizing an acoustic emission technique and the respective mechanical properties were evaluated. The observed material performance has been used to calibrate the improved 3D-FDM. Finally, this study experimentally quantifies the influence of the ply-thickness on the effective fatigue resistance of the laminate. The proposed model demonstrates that the predictions by the refined 3D-FDM are in very good agreement with the experimental observations.