Automating the Hartman-Schijve methodology for predicting interlaminar fatigue crack growth in fibre composites

Key Points

• Interlaminar fatigue crack growth was predicted effectively using the automated approach, leading to improved accuracy.
• The method achieved a significant reduction in computational time while maintaining prediction accuracy, with enhanced reproducibility.
• Assessment focused on automating the Hartman-Schijve methodology, which is critical for understanding crack growth in composite materials.
• This automation highlights the potential for advancing damage modeling in composite engineering, indicating future applications in industrial sectors.