UID:
almahu_9949336126902882
Format:
1 online resource (726 pages)
Edition:
2nd ed.
ISBN:
0-08-102707-9
Series Statement:
Woodhead Publishing Series in Civil and Structural Engineering
Content:
"Sensor Technologies for Civil Infrastructure, Volume 1: Sensing Hardware and Data Collection Methods for Performance Assessment, Second Edition, provides an overview of sensor hardware and its use in data collection. The first chapters provide an introduction to sensing for structural performance assessment and health monitoring, and an overview of commonly used sensors and their data acquisition systems. Further chapters address different types of sensor including piezoelectric transducers, fiber optic sensors, acoustic emission sensors, and electromagnetic sensors, and the use of these sensors for assessing and monitoring civil infrastructures. The new edition now includes chapters on machine learning methods and reliability analysis for structural health monitoring. All chapters have been revised to include the latest advances in materials (such as piezoelectric and mechanoluminescent materials), technologies (such as LIDAR), and applications."-- Provided by publisher.
Note:
Front Cover -- Sensor Technologies for Civil Infrastructures -- Sensor Technologies for Civil InfrastructuresVolume 2: Applications in Structural Health Monitoring -- Copyright -- Contents -- List of contributors -- 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 -- 1.4.1 Tamar Bridge: original design and subsequent strengthening and widening -- 1.4.1.1 Deck -- 1.4.1.2 Additional stay cables -- 1.4.1.3 Span continuity, bearings and expansion joints -- 1.4.2 Evolution of the monitoring system and reasons for sensor choice -- 1.4.2.1 Subsystem 1: Fugro structural monitoring system -- 1.4.2.2 Subsystem 2: vibration engineering section dynamic monitoring system -- 1.4.2.3 Subsystem 3: robotic total station -- 1.4.2.4 Subsystem 4: wireless sensor network -- 1.4.2.5 Final system -- 1.4.3 Other studies supporting the monitoring -- 1.4.4 Data management -- 1.5 Monitoring results illustrating sensor characteristics -- 1.5.1 Structural monitoring system data -- 1.5.2 Dynamic monitoring system data -- 1.5.3 Robotic total station data -- 1.5.4 Wireless sensor node data -- 1.5.5 Issues with sensors -- 1.5.6 Structural health monitoring applications -- 1.5.7 New structural health monitoring system (2019) -- 1.6 Conclusion and future trends -- References -- 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.
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2.6 Monitoring data during normal conditions and extreme events -- 2.6.1 Responses during normal conditions -- 2.6.2 Responses during typhoons -- 2.6.3 Responses during earthquakes -- 2.7 Strategy for structural health and condition assessment -- 2.8 Structural health monitoring benchmark study -- 2.9 Conclusions -- Acknowledgments -- References -- 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 -- 3.4.1 Utilization of data -- 3.4.2 Code versus extensive instrumentation -- 3.4.3 Associated free-field instrumentation -- 3.4.4 Record synchronization requirement -- 3.4.5 Recording systems, accelerometers, constraints, and new developments -- 3.5 Recent developments: health monitoring and damage detection -- 3.5.1 Damage detection based on the changes in natural frequencies -- 3.5.2 Damage detection based on permanent deformations -- 3.5.3 Damage detection based on interstory drift -- 3.5.4 Use of global positioning system for direct measurements of displacements -- 3.5.5 Pioneering seismic structural health monitoring developments -- 3.5.6 Testing the system-ambient data analysis -- 3.5.7 Recent structural health monitoring software: REC_MIDS -- 3.6 Soil-structure interaction arrays -- 3.7 Significant applications in Europe, the Middle East, and Japan -- References -- Further reading -- 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 -- 4.4.1 Wireless sensing system -- 4.4.2 Hardware design -- 4.4.3 Software design -- 4.5 Analysis of ambient vibration data.
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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 -- References -- 5 - Sensing solutions for assessing and monitoring tunnels -- 5.1 Introduction -- 5.2 Construction monitoring in soft ground tunneling -- 5.2.1 Excessive displacements -- 5.2.1.1 Monitoring techniques -- 5.2.2 Unexpected loads acting in and on the supports -- 5.2.2.1 Monitoring techniques -- 5.2.3 Pore water pressures -- 5.2.3.1 Monitoring techniques -- 5.3 Case study: Jubilee Line extension, London, United Kingdom -- 5.4 Construction monitoring in rock tunneling -- 5.4.1 Displacements -- 5.4.1.1 Monitoring techniques -- 5.4.2 Excessive loads acting in and on the supports -- 5.4.2.1 Monitoring techniques -- 5.5 Case study: monitoring of the construction of a new tunnel in rock in Switzerland -- 5.5.1 Background -- 5.5.2 Monitoring systems -- 5.5.3 Surveying techniques -- 5.5.4 Fiber optic sensors -- 5.5.5 Reverse head extensometers -- 5.5.6 Seismic monitoring systems -- 5.6 In-service and long-term monitoring -- 5.6.1 Changing loads and conditions -- 5.6.1.1 Monitoring techniques -- 5.6.2 Deterioration -- 5.6.2.1 Monitoring techniques -- 5.6.3 Construction of surrounding infrastructure -- 5.6.3.1 Monitoring techniques -- 5.7 Case study: monitoring of an existing tunnel for deterioration in London, United Kingdom -- 5.7.1 Background -- 5.7.2 Monitoring systems -- 5.7.3 Data comparison -- 5.7.4 Overall comparison -- 5.8 Sensing technology summary -- 5.9 Future trends -- 5.10 Further reading -- Acknowledgments -- References -- 6 - Mapping subsurface utilities with mobile electromagnetic geophysical sensor arrays -- 6.1 Introduction.
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6.2 Overview of electromagnetic remote sensing of utility infrastructure and rules of thumb -- 6.2.1 Passive methods -- 6.2.2 Active methods: ground-penetrating radar -- 6.2.3 Active methods: inductive remote sensing -- 6.3 Physics of electromagnetic waves in the shallow subsurface -- 6.3.1 Propagation and diffusion -- 6.3.1.1 Radar or wave regime -- 6.3.1.2 Electrical properties of soils at microwave frequencies -- 6.3.1.3 Induction or diffusion regime -- 6.3.2 Sources: electric and magnetic dipole fields -- 6.3.2.1 Electric dipole current source -- 6.3.2.2 Magnetic dipole current source -- 6.3.3 Model for passive utility locating -- 6.3.4 Simple models of ground-penetrating radar propagation -- 6.3.4.1 Reflection coefficient at interfaces -- 6.3.4.2 Ground-penetrating radar range equation for detection of buried objects -- 6.4 Commercial services, systems, and sensors -- 6.4.1 The One-Call System for utility locating -- 6.4.2 Subsurface utility engineering -- 6.4.3 Utility locating equipment -- 6.4.3.1 Electromagnetic locators -- 6.4.3.2 Single-channel ground-penetrating radar systems -- 6.4.4 Services -- 6.5 Mobile sensor arrays -- 6.5.1 New high-speed ground-penetrating radar arrays -- 6.5.1.1 Dual array system -- 6.5.1.2 Positioning -- 6.5.1.3 Merging sensor data and array positions -- 6.5.1.4 Other subsurface remote sensing technologies -- 6.6 Field examples -- 6.6.1 Restoring the utility network of Lower Manhattan after 9/11 -- 6.6.2 Maintenance of water lines in the City of Miami -- 6.6.3 Planning a rail link extension in California: integration of ground-penetrating radar with 3D subsurface utility engineering -- 6.6.4 Georeferenced large-scale utility survey -- 6.6.5 Mapping a crowded utility corridor near a water pumping station in Connecticut -- 6.6.6 Mapping electrical lines near a complex power junction in New York.
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6.6.7 Other case studies -- 6.7 Sensor technologies for infrastructure management and subsurface utility engineering -- 6.8 Appendix -- References -- Further reading -- 7 - Sensing solutions for assessing the stability of levees, sinkholes and landslides -- 7.1 Introduction -- 7.2 Detection, localization, and quantification of instability -- 7.2.1 Distributed optical fiber sensors -- 7.2.2 Laser distance meters -- 7.3 Levee monitoring -- 7.3.1 Application example: iLevees -- 7.3.2 Application example: IJkdijk project -- 7.4 Sinkhole monitoring -- 7.4.1 Application example: salt cavern monitoring, Hutchinson, Kansas -- 7.5 Landslide monitoring -- 7.5.1 Application example: Korea landslide -- 7.5.2 Application example: La Frasse landslide -- 7.6 Future trends -- 7.7 Conclusions -- 7.8 Sources of further information and advice -- References -- 8 - Sensing solutions for assessing and monitoring pipeline systems -- 8.1 Introduction -- 8.2 Types of pipeline systems -- 8.2.1 Oil and gas pipeline types -- 8.2.2 Water supply and sewerage pipeline types -- 8.3 Typical damage and failure modes -- 8.3.1 Steel pipelines -- 8.3.2 Concrete pipelines -- 8.3.3 Example of a pipeline failure -- 8.4 Current sensing solutions for pipeline systems -- 8.4.1 Current solutions for steel pipelines -- 8.4.2 Current solutions for concrete pipelines -- 8.5 Emerging sensing solutions -- 8.5.1 Wireless technologies -- 8.5.2 Distributed fiber optic sensing technologies -- 8.5.3 Large-area electronics -- 8.6 Future trends -- 8.7 Sources of further information and advice -- Acknowledgments -- References -- 9 - Sensing solutions for assessing and monitoring roads -- 9.1 Introduction -- 9.1.1 Roadway and bridge deck defects -- 9.1.2 Pothole and other highway pavement distress problems -- 9.1.3 ASTM pavement condition assessment.
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9.2 Nondestructive evaluation techniques for highway pavement assessment.
Additional Edition:
Print version: Lynch, Jerome P. Sensor Technologies for Civil Infrastructures San Diego : Elsevier Science & Technology,c2022 ISBN 9780081027066
Language:
English
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