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.
- 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
Chapter
1.4 Persistent data management and retrieval
1.5 Conclusion and future trends
2:
Sensor data analysis, reduction and fusion for assessing and monitoring civil infrastructures
2.2 Bayesian inference and monitoring data analysis
2.6 Sources of further information and advice
3:
Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures
3.2 Linear time invariant systems
3.4 Relation between the complex and the normal mode models
3.8 Sources of further information and advice
4:
Output only modal identification and structural damage detection using timefrequency and wavelet techniques for assessing and mo
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
5:
Prognosis and life-cycle assessment based on SHM information
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
5.8 Appendix: Notation used
6:
System-level design of a roaming multi-modal multi-sensor system for assessing and monitoring civil infrastructures
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
6.7 Enabling sensor fusion
Part II:
Case studies in assessing and monitoring specific structures
7:
Sensing solutions for assessing and monitoring bridges
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
8:
Sensing solutions for assessing and monitoring seismically-excited buildings
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
9:
Sensing solutions for assessing and monitoring super-tall towers
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
10:
Sensing solutions for assessing and monitoring dams
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
11:
Sensing solutions for assessing and monitoring tunnels
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
11.10 Sources of further information and advice
12:
Mapping subsurface utilities with mobile electromagnetic geophysical sensor arrays
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
12.7 Future of mobile sensor technologies
13:
Sensing solutions for assessing the stability of levees, sinkholes and landslides
13.2 Detection, localization and quantification of instability
13.5 Landslide monitoring
13.8 Sources of further information and advice
14:
Sensing solutions for assessing and monitoring pipeline systems
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
14.7 Sources of further information and advice
15:
Sensing solutions for assessing and monitoring roads
15.2 Nondestructive evaluation (NDE) techniques for highway pavement assessment
15.3 Health assessment of bridge decks
16:
Sensing solutions for assessing and monitoring railroad tracks
16.3 Nondestructive evaluation of rails
16.4 Structural health monitoring (SHM)
16.5 Systems for high-speed-rail inspection
17:
Sensing solutions for assessing and monitoring underwater systems
17.2 Underwater structures: types and challenges
17.3 Nondestructive evaluation (NDE) techniques
17.4 Structural health monitoring (SHM) of underwater structures
18:
Sensing solutions for assessing and monitoring offshore structures
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
19:
Sensing solutions for assessing and monitoring wind turbines
19.2 Review of offshore wind turbine (OWT) monitoring
19.3 Structural health monitoring (SHM) for blades
19.4 SHM for WT support structures
20:
Sensing solutions for assessing and monitoring of nuclear power plants (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
21:
Sensing solutions for assessing and monitoring power systems
21.2 Power system overview
21.3 Sensing equipment and systems
21.4 Control center monitoring and assessment
21.7 Appendix: basic AC system concepts
Sensor Technologies for Civil Infrastructures, Volume 2
：Applications in Structural Health Monitoring
( Woodhead Publishing Series in Civil and Structural Engineering )
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