Encyclopedia of Structural Health Monitoring 1st Edition by Christian Boller, Fou kuo Chang, Yozo Fujino ISBN 0470058226 9780470058220
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ISBN 10: 0470058226
ISBN 13: 978-0470058220
Author: Christian Boller, Fou-kuo Chang, Yozo Fujino
Covering all aspects of structural health monitoring, this encyclopedia will prove an essential reference source for all engineers, engineering managers and scientists active in the field of structural design, operational management and maintenance.
An international board of expert authors and editors provides readers with the theories and applications crucial to aerospace; road, rail and sea transport; heavy machinery; and all types of civil infrastructure, including specialist subjects such as land fills or disaster (i.e. earthquake) management. Moreover, each topic, ranging from the background of physical and mathematical principles to real practical engineering applications, is reported on in-depth and has a very practical orientation underlined by a variety of case studies.
With its thorough content, high calibre contributors and comprehensive coverage, the Encyclopedia of Structural health Monitoring will be crucial to all those involved in the field of Structural Health Monitoring. For ease-of-use it will be available online and in print.
Encyclopedia of Structural Health Monitoring 1st Table of contents:
Section I: Fundamentals of Structural Health Monitoring (SHM)
- Introduction to Structural Health Monitoring
- Definition and Scope
- Historical Evolution of SHM
- Importance of SHM in Engineering
- Types of Structural Health Monitoring Systems
- Passive Monitoring Systems
- Active Monitoring Systems
- Hybrid Monitoring Systems
- Sensors and Measurement Techniques in SHM
- Types of Sensors: Strain, Temperature, Vibration, Acoustic Emission, etc.
- Sensor Placement Strategies
- Measurement and Data Collection Technologies
- Data Processing and Analysis Methods
- Signal Processing Techniques
- Statistical and Machine Learning Methods
- Real-Time Data Analysis in SHM
- SHM System Integration and Data Management
- Data Storage and Retrieval
- Cloud-Based SHM Systems
- System Integration in Smart Structures
Section II: Structural Health Monitoring for Different Types of Structures
6. SHM for Buildings and Civil Infrastructure
- Monitoring Techniques for Bridges, Dams, and Tunnels
- Case Studies in Civil Engineering
- SHM for Aerospace Structures
- Aircraft Structural Monitoring
- Vibration and Damage Detection in Aerospace
- SHM for Marine Structures
- Monitoring of Ships and Offshore Platforms
- Fatigue and Corrosion Monitoring
- SHM for Wind Turbines
- Monitoring of Wind Turbine Blades
- Structural Health in Renewable Energy Systems
- SHM for Railways
- Monitoring Tracks, Rolling Stock, and Stations
- Vibration and Crack Detection in Railway Systems
Section III: Advanced Techniques in Structural Health Monitoring
11. Damage Detection and Localization Methods
– Non-Destructive Testing (NDT) Techniques
– Vibration-Based Damage Detection
– Acoustic Emission Methods
12. Smart Materials and Self-Healing in SHM
– Shape Memory Alloys
– Self-Healing Concrete and Coatings
13. Artificial Intelligence and Machine Learning in SHM
– AI-based Damage Detection
– Neural Networks and Pattern Recognition
14. Finite Element Analysis and Simulation in SHM
– Simulation-Based Monitoring
– Advanced Modeling Techniques for Structural Behavior
15. Wireless Sensor Networks for SHM
– Remote Sensing and Wireless Networks
– Challenges in Data Transmission and Real-Time Monitoring
Section IV: Applications and Case Studies in Structural Health Monitoring
16. Case Studies of SHM in Civil Infrastructure
– Real-Life Applications and Lessons Learned
– Impact of SHM on Infrastructure Longevity
17. SHM in Aerospace Engineering
– Flight Safety and Structural Integrity Monitoring
18. SHM in the Oil and Gas Industry
– Monitoring Offshore Platforms and Pipelines
– Corrosion and Fatigue Assessment in Oil Rigs
19. SHM in Industrial Equipment and Machinery
– Monitoring Large Industrial Structures and Machines
– Health Monitoring for Heavy Equipment
20. Future Trends and Challenges in SHM
– Emerging Technologies in SHM
– Integration of SHM with Internet of Things (IoT)
– Sustainability and the Future of Structural Monitoring
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