Sensor Technologies for Civil Infrastructures

Sensor Technologies for Civil Infrastructures

Volume 2: Applications in Structural Health Monitoring

2nd Edition - July 19, 2022

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  • Editors: Jerome Lynch, Hoon Sohn, Ming Wang
  • Paperback ISBN: 9780081027066
  • eBook ISBN: 9780081027073

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Description

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.

Key Features

  • Includes case studies in assessing structures such as bridges, buildings, super-tall towers, dams, tunnels, wind turbines, railroad tracks, nuclear power plants, offshore structures, naval systems, levees, and pipelines
  • Reviews future and emerging technologies and techniques including unmanned aerial systems, LIDAR, and ultrasonic and infrared sensing
  • Describes latest emerging techniques in data analysis such as diagnostic solutions for assessing and monitoring sensors and big data analysis

Readership

Structural and civil engineers, electronics engineers in academia and industry

Table of Contents

  • 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

Product details

  • No. of pages: 724
  • Language: English
  • Copyright: © Woodhead Publishing 2022
  • Published: July 19, 2022
  • Imprint: Woodhead Publishing
  • Paperback ISBN: 9780081027066
  • eBook ISBN: 9780081027073

About the Editors

Jerome Lynch

Jerome P. Lynch is Associate Professor in the Department of Civil and Environmental Engineering at University of Michigan, USA.

Affiliations and Expertise

Ph.D., F.EMI, Vinik Dean of Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA.

Hoon Sohn

Professor Hoon Sohn works at the Korea Advanced Institute of Science and Technology, Korea.

Affiliations and Expertise

Korea Advanced Institute of Science and Technology, Korea

Ming Wang

Distinguished Professor, Civil and Environmental Engineering, Northeastern University, USA.

Affiliations and Expertise

Northeastern University, USA

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