Sensor Technologies for Civil Infrastructures

Volume 2: Applications in Structural Health Monitoring

2nd Edition - July 19, 2022
Editors: Jerome P. Lynch, Hoon Sohn, Ming L. Wang
Language: English
Paperback ISBN:
9 7 8 - 0 - 0 8 - 1 0 2 7 0 6 - 6
eBook ISBN:
9 7 8 - 0 - 0 8 - 1 0 2 7 0 7 - 3

Sensor Technologies for Civil Infrastructure, Volume 2: Applications in Structural Health Monitoring, Second Edition, provides an overview of sensor applications and a new secti… Read more

Sensor Technologies for Civil Infrastructures

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Sensor Technologies for Civil Infrastructure, Volume 2: Applications in Structural Health Monitoring, Second Edition, provides an overview of sensor applications and a new section on future and emerging technologies. Part one is made up of case studies in assessing and monitoring specific structures such as bridges, towers, buildings, dams, tunnels, pipelines, and roads. The new edition also includes sensing solutions for assessing and monitoring of naval systems. Part two reviews emerging technologies for sensing and data analysis including diagnostic solutions for assessing and monitoring sensors, unmanned aerial systems, and UAV application in post-hazard event reconnaissance and site assessment.

Cover image
Title page
Table of Contents
Copyright
List of contributors
Part One. Applications
1. Sensing solutions for assessing and monitoring of bridges
1.1. Introduction
1.2. Performance metrics or measurands and their uses in assessment
1.3. Instrumentation in notable bridge monitoring projects
1.4. Case study on condition assessment and performance monitoring: Tamar Bridge
1.5. Monitoring results illustrating sensor characteristics
1.6. Conclusion and future trends
2. Sensing solutions for assessing and monitoring supertall structures
2.1. Introduction
2.2. Structural health monitoring system for the Canton Tower
2.3. Integrated structural health monitoring and vibration control
2.4. Verification of long-range wireless sensing technology
2.5. Sensor fusion for structural health monitoring
2.6. Monitoring data during normal conditions and extreme events
2.7. Strategy for structural health and condition assessment
2.8. Structural health monitoring benchmark study
2.9. Conclusions
3. Seismic monitoring solutions for buildings
3.1. Introduction
3.2. Historical background of seismic monitoring of buildings in United States
3.3. A historical special case of imperial county services buildings
3.4. General seismic instrumentation issues
3.5. Recent developments: health monitoring and damage detection
3.6. Soil–structure interaction arrays
3.7. Significant applications in Europe, the Middle East, and Japan
4. Sensing solutions for assessing and monitoring dams
4.1. Introduction
4.2. Past monitoring effects of dams
4.3. Measurement systems of Fei-Tsui arch dam
4.4. Wireless sensing system for ambient vibration measurement
4.5. Analysis of ambient vibration data
4.6. Results of the ambient vibration survey of the dam
4.7. Analysis of earthquake response data of Fei-Tsui arch dam
4.8. Results using subspace identification to seismic response data
4.9. Results using ARX model to seismic response data
4.10. Conclusion
5. Sensing solutions for assessing and monitoring tunnels
5.1. Introduction
5.2. Construction monitoring in soft ground tunneling
5.3. Case study: Jubilee Line extension, London, United Kingdom
5.4. Construction monitoring in rock tunneling
5.5. Case study: monitoring of the construction of a new tunnel in rock in Switzerland
5.6. In-service and long-term monitoring
5.7. Case study: monitoring of an existing tunnel for deterioration in London, United Kingdom
5.8. Sensing technology summary
5.9. Future trends
5.10. Further reading
6. Mapping subsurface utilities with mobile electromagnetic geophysical sensor arrays
6.1. Introduction
6.2. Overview of electromagnetic remote sensing of utility infrastructure and rules of thumb
6.3. Physics of electromagnetic waves in the shallow subsurface
6.4. Commercial services, systems, and sensors
6.5. Mobile sensor arrays
6.6. Field examples
6.7. Sensor technologies for infrastructure management and subsurface utility engineering
6.8. Appendix
7. Sensing solutions for assessing the stability of levees, sinkholes and landslides
7.1. Introduction
7.2. Detection, localization, and quantification of instability
7.3. Levee monitoring
7.4. Sinkhole monitoring
7.5. Landslide monitoring
7.6. Future trends
7.7. Conclusions
7.8. Sources of further information and advice
8. Sensing solutions for assessing and monitoring pipeline systems
8.1. Introduction
8.2. Types of pipeline systems
8.3. Typical damage and failure modes
8.4. Current sensing solutions for pipeline systems
8.5. Emerging sensing solutions
8.6. Future trends
8.7. Sources of further information and advice
9. Sensing solutions for assessing and monitoring roads
9.1. Introduction
9.2. Nondestructive evaluation techniques for highway pavement assessment
9.3. Health assessment of bridge decks
9.4. Future trends
10. Sensing solutions for assessing and monitoring high-speed railroads
10.1. Introduction
10.2. The railway turnout and sensing solutions for condition assessment
10.3. Passive acoustic sensing technique
10.4. Pilot study and proof of concept
10.5. Acoustic emission–based rail turnout structural health monitoring system
10.6. In situ implementation on operating rail lines
10.7. Condition assessment of rail turnout based on acoustic emission data
10.8. Conclusions
11. Sensing solutions for assessing and monitoring underwater systems
11.1. Introduction
11.2. Underwater structures: types and challenges
11.3. Nondestructive evaluation techniques
11.4. Structural health monitoring of underwater structures
11.5. Conclusion
12. Sensor solutions for assessing and monitoring offshore structures
12.1. Introduction
12.2. Hull response monitoring systems
12.3. Fatigue monitoring sensors
12.4. Air gap sensing system
12.5. Corrosion monitoring system
12.6. Acoustic emissions monitoring sensors
12.7. Vibration-based damage assessment approaches
12.8. Fiber optic sensors
12.9. Riser and anchor chain monitoring
12.10. Conclusion and future trends
13. Sensing solutions for assessing and monitoring wind turbines
13.1. Introduction
13.2. Review of offshore wind turbine monitoring
13.3. Structural health monitoring for blades
13.4. Strutural health monitoring for wind turbine support structures
13.5. Conclusion
14. Sensing solutions for assessing and monitoring of nuclear power plants
14.1. Introduction
14.2. Description of nuclear power plants
14.3. Types of damage in pipelines and their failure mechanisms
14.4. Sensor development for nuclear power plant structural health monitoring
14.5. Conclusion and future trends
Part Two. Futuristic technology
15. Nonlinear acoustic/ultrasound methods for civil applications
15.1. Introduction
15.2. Fundamentals of nonlinear acoustic–ultrasound techniques
15.3. Harmonic and subharmonic generation
15.4. Nonlinear wave modulation
15.5. Nonlinear resonance ultrasound spectroscopy
15.6. Future challenges
15.7. Conclusions
16. Multifunctional materials and nanocomposite sensors for civil infrastructure monitoring
16.1. Introduction
16.2. Carbon nanomaterials and their properties
16.3. Piezoresistive polymer nanocomposite thin films
16.4. Electrical impedance tomography for spatial sensing
16.5. Photoactive conjugated polymer–based nanocomposite sensors
16.6. Mechanoluminescent sensors
16.7. Summary and future trends
17. Long-term wireless structural monitoring of operational bridges
17.1. Introduction
17.2. Case study I: Golden Gate Bridge (San Francisco, California, United States)
17.3. Case study II: Stork Bridge (Winterthur, Switzerland)
17.4. Case study III: Jindo Bridge (Haenam, South Korea)
17.5. Case study IV: New Carquinez Bridge (Vallejo, California, United States)
17.6. Case study V: Telegraph Road bridge (Monroe, Michigan, United States)
17.7. Chapter summary
18. Robotic sensing for assessing and monitoring civil infrastructures
18.1. Robotic sensing
19. Structural health monitoring using unmanned aerial systems
19.1. Introduction
19.2. Overview of unmanned aerial system for structural health monitoring
19.3. Three-dimensional model construction using structure from motion and/or light detection and ranging
19.4. Structural health monitoring using deep learning and unmanned aerial system
19.5. Vibration-based structural health monitoring using unmanned aerial system
19.6. Conclusion
20. Big data analysis for civil infrastructure sensing
20.1. Introduction
20.2. Mapping to structural performance: learning
20.3. Next steps for machine learning in civil infrastructure
20.4. Beyond infrastructure monitoring
20.5. Conclusions
Index

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Jerome P. Lynch

Hoon Sohn

Ming L. Wang