Progressive Inter-Laminar Fatigue Damage Modelling and Analysis Of Composite Structures Through a Two-Way Global/Local Coupling Methodology

Date

2025-2-19

Author

Değerliyurt, Boray

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Delamination and debonding are crucial failure modes in composite helicopter rotor components, demanding an accurate estimation of their growth and extent. A rapid and robust approach for analysing progressive fatigue delamination is essential to assess the propagation of interlaminar flaws. Existing literature primarily confines progressive failure investigations to coupon scale due to substantial computation times and convergence challenges. The commonly observed strategy to tackle these issues involves utilising the global-local method. While global-local methods are prevalent in progressive damage computations, they are typically limited to static analyses; and the literature lacks global-local methods designed explicitly for progressive fatigue damage modelling. Consequently, this study introduces a novel procedure for conducting extensive fatigue delamination analyses with a two-way coupling global-local method. This method applies the displacement field derived from the global model to the local model. Subsequently, the global model is updated iteratively based on internal nodal reactions of cohesive elements extracted from the local model. The study presents the analysis results of the Double Cantilever Beam (DCB) model employing this method. The method gives consistent results with regular analyses and experimental findings. In 3D models with finer local mesh, the current method has a significant computational advantage over regular analyses. This verified methodology is then applied to an element-level aerospace structure. The method's computational advantage and accuracy are also compared with the regular method, which shows its computational advantage in aerospace finite element analysis applications.

Subject Keywords

Composites, Delamination, Cohesive Zone Method (CZM), Global-Local Coupling, Fatigue Analyses

URI

https://hdl.handle.net/11511/113809

Collections

Graduate School of Natural and Applied Sciences, Thesis