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Sensor Technologies for Civil Infrastructures
 
 

Sensor Technologies for Civil Infrastructures, 1st Edition

Applications in Structural Health Monitoring

 
Sensor Technologies for Civil Infrastructures, 1st Edition,Ming L. Wang,Jerome P. Lynch,Hoon Sohn,ISBN9781782422426
 
 
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Wang   &   Lynch   &   Sohn   

Woodhead Publishing

9781782422426

9781782422433

738

A complete guide for academics and professionals, covering the latest advances in sensing technology and its applications in civil infrastructure

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Key Features

  • Provides an in-depth examination of sensor data management and analytical techniques for fault detection and localization, looking at prognosis and life-cycle assessment
  • Includes case studies in assessing structures such as bridges, buildings, super-tall towers, dams, tunnels, wind turbines, railroad tracks, nuclear power plants, offshore structures, levees, and pipelines

Description

Sensors are used for civil infrastructure performance assessment and health monitoring, and have evolved significantly through developments in materials and methodologies. Sensor Technologies for Civil Infrastructure Volume II provides an overview of sensor data analysis and case studies in assessing and monitoring civil infrastructures.

Part one focuses on sensor data interrogation and decision making, with chapters on data management technologies, data analysis, techniques for damage detection and structural damage detection. Part two is made up of case studies in assessing and monitoring specific structures such as bridges, towers, buildings, dams, tunnels, pipelines, and roads.

Sensor Technologies for Civil Infrastructure provides a standard reference for structural and civil engineers, electronics engineers, and academics with an interest in the field.

Readership

Practitioners, researchers, and government officials in the fields of civil engineering, structural engineering, bridge design, bridge inspection, and infrastructure maintenance; Civil, structural, and geotechnical engineers and professionals interested in SHM in the domains of safety, maintenance, design or construction of infrastructure; Researchers and professors of civil engineering whose area is SHM, or use SHM as a tool in their research

Ming L. Wang

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

Affiliations and Expertise

Northeastern University, USA

Jerome P. Lynch

Associate Professor, Department of Civil and Environmental Engineering, University of Michigan, USA

Affiliations and Expertise

University of Michigan, USA

Hoon Sohn

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

Affiliations and Expertise

Korea Advanced Institute of Science and Technology, Korea

Sensor Technologies for Civil Infrastructures, 1st Edition

  • Contributor contact details
  • Woodhead Publishing Series in Electronic and Optical Materials
  • Preface
  • Part I: Sensor data interrogation and decision making
    • 1. Sensor data management technologies for infrastructure asset management
      • Abstract:
      • 1.1 Introduction
      • 1.2 Sensor level data processing and management
      • 1.3 In-network data communication and management
      • 1.4 Persistent data management and retrieval
      • 1.5 Conclusion and future trends
      • 1.6 Acknowledgements
      • 1.7 References
    • 2. Sensor data analysis, reduction and fusion for assessing and monitoring civil infrastructures
      • Abstract:
      • 2.1 Introduction
      • 2.2 Bayesian inference and monitoring data analysis
      • 2.3 Data reduction
      • 2.4 Data fusion
      • 2.5 Further trends
      • 2.6 Sources of further information and advice
      • 2.7 Acknowledgements
      • 2.8 References
    • 3. Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures
      • Abstract:
      • 3.1 Introduction
      • 3.2 Linear time invariant systems
      • 3.3 Modal form
      • 3.4 Relation between the complex and the normal mode models
      • 3.5 Damage detection
      • 3.6 Damage localization
      • 3.7 Future trends
      • 3.8 Sources of further information and advice
      • 3.9 References
    • 4. Output only modal identification and structural damage detection using timefrequency and wavelet techniques for assessing and monitoring civil infrastructures
      • Abstract:
      • 4.1 Introduction
      • 4.2 Time-frequency (TF) methods: STFT, EMD and HT
      • 4.3 Modal identification of linear time invariant (LTI) and linear time variant (LTV) systems using EMD/HT and STFT
      • 4.4 Modal identification of LTI and LTV systems using wavelets
      • 4.5 Experimental and numerical validation of modal identification of LTI and LTV systems using STFT, EMD, wavelets and HT
      • 4.6 Conclusion
      • 4.7 Acknowledgments
      • 4.8 References
    • 5. Prognosis and life-cycle assessment based on SHM information
      • Abstract:
      • 5.1 Introduction
      • 5.2 Statistical and probabilistic aspects for efficient prognosis
      • 5.3 Decision analysis based on availability of SHM data
      • 5.4 Life-cycle analysis using monitoring data
      • 5.5 Conclusions
      • 5.6 Acknowledgements
      • 5.7 References
      • 5.8 Appendix: Notation used
    • 6. System-level design of a roaming multi-modal multi-sensor system for assessing and monitoring civil infrastructures
      • Abstract:
      • 6.1 Introduction
      • 6.2 Need for health monitoring of transportation infrastructure
      • 6.3 Sensor systems background
      • 6.4 VOTERS mobile sensor system overview
      • 6.5 Hierarchical multi-tiered architecture
      • 6.6 Bulk data handling
      • 6.7 Enabling sensor fusion
      • 6.8 Conclusion
      • 6.9 Acknowledgements
      • 6.10 References
  • Part II: Case studies in assessing and monitoring specific structures
    • 7. Sensing solutions for assessing and monitoring bridges
      • Abstract:
      • 7.1 Introduction
      • 7.2 Performance metrics or measurands and their uses in assessment
      • 7.3 Instrumentation in notable bridge monitoring projects
      • 7.4 Case study on condition assessment and performance monitoring: Tamar Bridge
      • 7.5 Monitoring results illustrating sensor characteristics
      • 7.6 Conclusion and future trends
      • 7.7 References
    • 8. Sensing solutions for assessing and monitoring seismically-excited buildings
      • Abstract:
      • 8.1 Introduction
      • 8.2 New roles for sensing and monitoring systems in buildings
      • 8.3 Structural health monitoring (SHM) systems for buildings
      • 8.4 Smart sensor devices to detect local damage
      • 8.5 Conclusion
      • 8.6 References
    • 9. Sensing solutions for assessing and monitoring super-tall towers
      • Abstract:
      • 9.1 Introduction
      • 9.2 Structural health monitoring (SHM) system for the Canton Tower
      • 9.3 Integrated SHM and vibration control
      • 9.4 Verification of long-range wireless sensing technology
      • 9.5 Sensor fusion for SHM
      • 9.6 Monitoring data during typhoons and earthquakes
      • 9.7 Strategy for structural health and condition assessment
      • 9.8 SHM benchmark study
      • 9.9 Conclusion
      • 9.10 Acknowledgments
      • 9.11 References
    • 10. Sensing solutions for assessing and monitoring dams
      • Abstract:
      • 10.1 Introduction
      • 10.2 Past monitoring effects of dams
      • 10.3 Measurement systems of Fei-Tsui arch dam
      • 10.4 Wireless sensing system for ambient vibration measurement
      • 10.5 Analysis of ambient vibration data
      • 10.6 Results of the ambient vibration survey of the dam
      • 10.7 Analysis of earthquake response data of Fei-Tsui arch dam
      • 10.8 Results using subspace identification (SI) to seismic response data
      • 10.9 Results using ARX model to seismic response data
      • 10.10 Conclusion
      • 10.11 References
    • 11. Sensing solutions for assessing and monitoring tunnels
      • Abstract:
      • 11.1 Introduction
      • 11.2 Construction monitoring in soft ground tunnelling
      • 11.3 Case study: Jubilee Line extension, London, UK
      • 11.4 Construction monitoring in rock tunnelling
      • 11.5 Case study: monitoring of the construction of a new tunnel in rock in Switzerland
      • 11.6 In-service and long-term monitoring
      • 11.7 Case study: monitoring of an existing tunnel for deterioration in London, UK
      • 11.8 Sensing technology summary
      • 11.9 Future trends
      • 11.10 Sources of further information and advice
      • 11.11 Acknowledgements
      • 11.12 References
    • 12. Mapping subsurface utilities with mobile electromagnetic geophysical sensor arrays
      • Abstract:
      • 12.1 Introduction
      • 12.2 Physical concepts of passive and active EM remote sensing
      • 12.3 Physics of EM waves in the shallow subsurface
      • 12.4 Commercial services, systems, and sensors
      • 12.5 Mobile sensor arrays
      • 12.6 Survey examples
      • 12.7 Future of mobile sensor technologies
      • 12.8 References
    • 13. Sensing solutions for assessing the stability of levees, sinkholes and landslides
      • Abstract:
      • 13.1 Introduction
      • 13.2 Detection, localization and quantification of instability
      • 13.3 Levee monitoring
      • 13.4 Sinkhole monitoring
      • 13.5 Landslide monitoring
      • 13.6 Future trends
      • 13.7 Conclusions
      • 13.8 Sources of further information and advice
      • 13.9 References
    • 14. Sensing solutions for assessing and monitoring pipeline systems
      • Abstract:
      • 14.1 Introduction
      • 14.2 Types of pipeline systems
      • 14.3 Typical damage and failure modes
      • 14.4 Current sensing solutions for pipeline systems
      • 14.5 Emerging sensing solutions
      • 14.6 Future trends
      • 14.7 Sources of further information and advice
      • 14.8 Acknowledgment
      • 14.9 References
    • 15. Sensing solutions for assessing and monitoring roads
      • Abstract:
      • 15.1 Introduction
      • 15.2 Nondestructive evaluation (NDE) techniques for highway pavement assessment
      • 15.3 Health assessment of bridge decks
      • 15.4 Future trends
      • 15.5 References
    • 16. Sensing solutions for assessing and monitoring railroad tracks
      • Abstract:
      • 16.1 Introduction
      • 16.2 Defects in rails
      • 16.3 Nondestructive evaluation of rails
      • 16.4 Structural health monitoring (SHM)
      • 16.5 Systems for high-speed-rail inspection
      • 16.6 Conclusions
      • 16.7 References
    • 17. Sensing solutions for assessing and monitoring underwater systems
      • Abstract:
      • 17.1 Introduction
      • 17.2 Underwater structures: types and challenges
      • 17.3 Nondestructive evaluation (NDE) techniques
      • 17.4 Structural health monitoring (SHM) of underwater structures
      • 17.5 Conclusion
      • 17.6 References
    • 18. Sensing solutions for assessing and monitoring offshore structures
      • Abstract:
      • 18.1 Introduction
      • 18.2 Hull response monitoring systems
      • 18.3 Fatigue monitoring sensors
      • 18.4 Air gap sensing system
      • 18.5 Corrosion monitoring system
      • 18.6 Acoustic emissions monitoring sensors
      • 18.7 Vibration-based damage assessment approaches
      • 18.8 Fiber optic sensors (FOS)
      • 18.9 Riser and anchor chain monitoring
      • 18.10 Conclusion and future trends
      • 18.11 References
    • 19. Sensing solutions for assessing and monitoring wind turbines
      • Abstract:
      • 19.1 Introduction
      • 19.2 Review of offshore wind turbine (OWT) monitoring
      • 19.3 Structural health monitoring (SHM) for blades
      • 19.4 SHM for WT support structures
      • 19.5 Conclusion
      • 19.6 References
    • 20. Sensing solutions for assessing and monitoring of nuclear power plants (NPPs)
      • Abstract:
      • 20.1 Introduction
      • 20.2 Description of NPPs
      • 20.3 Types of damage in pipelines and their failure mechanisms
      • 20.4 Sensor development for NPPs SHM
      • 20.5 Conclusion and future trends
      • 20.6 Acknowledgment
      • 20.7 References
    • 21. Sensing solutions for assessing and monitoring power systems
      • Abstract:
      • 21.1 Introduction
      • 21.2 Power system overview
      • 21.3 Sensing equipment and systems
      • 21.4 Control center monitoring and assessment
      • 21.5 Conclusion
      • 21.6 References
      • 21.7 Appendix: basic AC system concepts
  • Index
 
 
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