Composite Materials and Structures: Artificial Intelligence-Based Structural Health Monitoring (De Gruyter STEM)

Structural Health Monitoring (SHM) in composite structures is crucial for safety, increased lifespan, and cost efficiency with early damage detection. The book introduces the reader to composite materials, basic concepts, terminology, design concepts for composite materials structures, composite manufacturing, fabrication and processing. It explains the mechanics behavior of composite materials, SHM in composite structures theory and artificial intelligence algorithms in SHM, including machine learning, deep learning, and artificial neural networks. The book describes the capability of Non-Des tructive Testing (NDT) techniques for SHM, characteristics of piezoelectric Sensors for SHM and lamb wave technique based SHM and include case studies of SHM of composite structures such as composite pipelines, plates, using NDT different methods integrated with artificial intelligence algorithms.