Artificial Intelligence for Non-Destructive Testing and Structural Health Monitoring of Composite Materials

Fiber-reinforced polymer composite structures are increasingly central to aerospace, wind energy, marine, and infrastructure engineering. Yet their anisotropic, heterogeneous, and multilayered nature makes damage detection and condition assessment considerably more challenging than in conventional materials such as metals. This book brings together non-destructive testing and structural health monitoring as complementary approaches and demonstrates how artificial intelligence is transforming both fields.Outlines fundamental concepts and challenges associated with the inspection and monitoring of composite structuresIntroduces the mathematical and algorithmic foundations of AI for structural assessment.Examines AI-enabled approaches across major sensing modalities, including ultrasonic and guided-wave techniques, thermography and imaging, and vibration-based methods.Explores emerging developments in digital twins and physics-guided AI, and their potential to enable predictive, real-time management of composite structures.Written by an international team of researchers and supported throughout by real-world case studies, this book provides researchers, engineers, and postgraduate students with a comprehensive and up-to-date guide to the intelligent inspection, monitoring, diagnosis, and prognosis of composite structures.