
Composite Materials and Structures
Artificial Intelligence-Based Structural Health Monitoring
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Composite Materials and Structures
Artificial Intelligence-Based Structural Health Monitoring
About this book
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-Destructive 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.
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Information
Table of contents
- Title Page
- Copyright
- Contents
- Frontmatter
- Contents
- Chapter 1âIntroduction to composite materials
- Chapter 2âBasic concepts and terminology
- Chapter 3âDesign concepts for composite materials/structures
- Chapter 4âComposite manufacturing, fabrication, and processing
- Chapter 5âThe mechanical behavior of composite materials
- Chapter 6âStructural health monitoring of composite structures
- Chapter 7âCase studies on structural health monitoring of composite structures
- Notations
- Index
- Index