Multi-Variant Damage Assessment in Composite Materials Using Acoustic Emission

• Published in: Sensors
• Main Authors: Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Mayorkinos Papaelias
• Format: Article
• Language: English
• Published: MDPI AG 2025-06-01
• Subjects: acoustic emission; fibre-reinforced polymers; structural health monitoring; digital signal processing; multi-variant; Fourier transform
• Online Access: https://www.mdpi.com/1424-8220/25/12/3795

This study presents a novel methodology for the real-time characterisation and quantitative assessment of damage in fibre-reinforced polymers (FRPs) using acoustic emission (AE) techniques. While FRPs offer superior mechanical properties for structural applications, their anisotropic nature introduces complex damage mechanisms that are challenging to detect with conventional inspection methods. Our approach advances beyond traditional peak frequency analysis by implementing a multi-variant frequency assessment that can detect and evaluate simultaneously occurring damage modes. By applying the fast Fourier transform and examining multiple frequency peaks within AE signals, we successfully identified five distinct damage mechanisms in carbon fibre composites: matrix cracking (100–200 kHz), delamination (205–265 kHz), debonding (270–320 kHz), fibre fracture (330–385 kHz), and fibre pullout (395–490 kHz). A comparative analysis with wavelet transform methods demonstrated that our approach provides earlier detection of critical damage events, with delamination identified approximately 28 s sooner than with conventional techniques. The proposed methodology enables a more accurate quantitative assessment of structural health, facilitating timely maintenance interventions for large-scale FRP structures, such as wind turbine blades, thereby enhancing reliability while reducing operational downtime and maintenance costs.