Composite materials are particularly exposed to delamination under fatigue loading conditions, which can significantly compromise their structural integrity. The ability to accurately and efficiently estimate the progression of delamination under fatigue is crucial for enhancing the safety and reliability of lightweight composite structures. The aim of this paper is to implement the cohesive elements formulation in a Sequential Static Fatigue (SSF) algorithm named C-SSF. The C-SSF algorithm simulates delamination propagation under fatigue loading by conducting a series of sequential static simulations. The accuracy of the C-SSF method is validated by comparing its results with experimental data from two published case studies. The results demonstrate that this approach can effectively simulate delamination growth under fatigue loading. Compared to a similar approach based on the Virtual Crack Closure Technique (VCCT), the C-SSF algorithm provided superior accuracy, especially when large and curved delamination fronts were involved. The C-SSF method proved its capability to simulate propagation of delamination in composite structures, making it a valuable tool for modelling the fatigue behaviour of other similar structures.

中文翻译：

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使用顺序静态疲劳算法对复合材料中分层的疲劳扩展的内聚力区模型的新实现


复合材料在疲劳载荷条件下特别容易分层，这会严重损害其结构完整性。准确有效地估计疲劳下分层进展的能力对于提高轻质复合材料结构的安全性和可靠性至关重要。本文的目的是在名为 C-SSF 的顺序静态疲劳 （SSF） 算法中实现内聚元公式。C-SSF 算法通过执行一系列顺序静态仿真来模拟疲劳载荷下的分层传播。通过将其结果与两个已发表案例研究的实验数据进行比较，验证了 C-SSF 方法的准确性。结果表明，该方法可以有效地模拟疲劳载荷下的分层增长。与基于虚拟裂纹闭合技术 （VCCT） 的类似方法相比，C-SSF 算法提供了卓越的精度，尤其是在涉及大型和弯曲的分层前沿时。C-SSF 方法证明了它能够模拟复合材料结构中分层的传播，使其成为模拟其他类似结构疲劳行为的宝贵工具。