Non-destructive health monitoring of structural polymer composites: Trends and perspectives in the digital era
Résumé
Non-destructive testing (NDT) techniques are usually used for the characterisation of defects arising in polymer composites during manufacturing or in-service use. However, each of these NDT techniques cannot always allow a full diagnosis of the material’s or component’s structural health. Thus, several techniques have to be combined in order to improve the diagnosis of the damaged state of composite structures and their evolution during the part’s life span. This opinion paper proposes a critical overview of the use and applicability of these NDT techniques for the detection and characterisation of damage to structural composite materials in view of in-service performance assessment and residual durability prognosis. It also addresses some current trends of structural health monitoring (SHM) of these materials, such as sensor–actuator embedding and NDT data fusion, and draws future perspectives on how composite SHM could evolve in the digital era, taking advantage of artificial intelligence, Internet of Things and big data to implement digital twins.
Mots clés
Polymer composites
Composites
Composite materials
Composite structures
Non-destructive testing NDT
Structural Health Monitoring SHM
Damage detection
Durability
Acoustic emission AE
Infrared Thermography
Shearography
Dye penetrant testing
Digital image correlation
Ultrasonic waves
X-ray radiography
X-ray tomography
Data fusion
Artificial intelligence
Data mining
Digital Twin
Machine learning
Deep learning
Machine learning / deep learning
Internet Of Things
Big data
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