Sensor Technologies for Civil Infrastructures, Volume 1 :Sensing Hardware and Data Collection Methods for Performance Assessment ( Woodhead Publishing Series in Civil and Structural Engineering )

Publication subTitle :Sensing Hardware and Data Collection Methods for Performance Assessment

Publication series :Woodhead Publishing Series in Civil and Structural Engineering

Author: Wang   Ming L.;Lynch   Jerome P.;Sohn   Hoon  

Publisher: Elsevier Science‎

Publication year: 2014

E-ISBN: 9780857099136

P-ISBN(Paperback): 9780857094322

P-ISBN(Hardback):  9780857094322

Subject: TM Electrotechnical;TU Architectural Science

Language: ENG

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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 I 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. Developments in technologies applied to civil infrastructure performance assessment are also discussed, including radar technology, micro-electro-mechanical systems (MEMS) and nanotechnology.

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

  • Describes sensing hardware and data collection, covering a variety of sensors
  • Examines fiber optic systems, acoustic emission, piezoelectric sensors, electromagnetic sensors, ultrasonic methods, and radar and millimeter wave technology
  • Covers strain gauges, micro-electro-mechanical systems (MEMS), multifunctional materials and nan

Chapter

1.2 Introduction to this book

1.3 Overview of sensors and sensing system hardware

1.4 Overview of sensor data interrogation and decision making

1.5 Overview of application of sensing systems to operational infrastructure

1.6 Future trends

1.7 Conclusion

1.8 References

2 Sensor data acquisition systems and architectures

2.1 Introduction

2.2 Concepts in signals and digital sampling

2.3 Analog-to-digital conversion

2.4 Digital-to-analog conversion

2.5 Data acquisition systems

2.6 Optical sensing DAQ system

2.7 Conclusion and future trends

2.8 References

3 Commonly used sensors for civil infrastructures and their associated algorithms

3.1 Introduction

3.2 Brief review of commonly used sensing technologies

3.3 Associated algorithms

3.4 Examples of continuous monitoring systems

3.5 Conclusions and future trends

3.6 References

4 Piezoelectric transducers for assessing and monitoring civil infrastructures

4.1 Introduction

4.2 Principle of piezoelectricity

4.3 Piezoelectric materials and the fabrication of piezoelectric transducers

4.4 Piezoelectric transducers for SHM applications

4.5 Bonding effects

4.6 Limitations of piezoelectric transducers

4.7 SHM techniques using piezoelectric transducers

4.8 Applications of piezoelectric transducer-based SHM

4.9 Future trends

4.10 Conclusion

4.11 References

5 Fiber optic sensors for assessing and monitoring civil infrastructures

5.1 Introduction

5.2 Properties of optical fibers

5.3 Common optical fiber sensors

5.4 Future trends

5.5 Sources for further information and advice

5.6 Conclusions

5.7 References

6 Acoustic emission sensors for assessing and monitoring civil infrastructures

6.1 Introduction

6.2 Fundamentals of acoustic emission (AE) technique

6.3 Interpretation of AE signals

6.4 AE localization methods

6.5 Severity assessment

6.6 AE equipment technology

6.7 Field applications and structural health monitoring using AE

6.8 Future challenges

6.9 Conclusion

6.10 References

7 Nonlinear acoustic and ultrasound methods for assessing and monitoring civil infrastructures

7. 1 Introduction

7. 2 Fundamentals of nonlinear acousto-ultrasound techniques

7. 3 Harmonic and subharmonic generation

7. 4 Nonlinear wave modulation

7. 5 Nonlinear resonance ultrasound spectroscopy

7. 6 Future trends

7. 7 Conclusions

7. 8 References

8 Radar technology: radio frequency, interferometric, millimeter wave and terahertz sensors for assessing and monitoring civil infrastructures

8.1 Introduction

8.2 Brief history of ground penetrating radar (GPR) systems

8.3 Current challenges and state of the art systems

8.4 Fundamentals of operation

8.5 Electromagnetic interactions with materials

8.6 Transmitter and receiver design

8.7 Signal processing

8.8 Laboratory and field studies

8.9 Conclusions and future trends

8.10 References

9 Electromagnetic sensors for assessing and monitoring civil infrastructures

9.1 Introduction to magnetics and magnetic materials

9.2 Introduction to magnetoelasticity

9.3 Magnetic sensory technologies

9.4 Role of microstructure in magnetization and magnetoelasticity

9.5 Magnetoelastic stress sensors for tension monitoring of steel cables

9.6 Temperature effects

9.7 Eddy current

9.8 Removable (portable) elastomagnetic stress sensor

9.9 Conclusion and future trends

9.10 References

10 Micro-electro-mechanical-systems (MEMS) for assessing and monitoring civil infrastructures

10.1 Introduction

10.2 Sensor materials and micromachining techniques

10.3 Sensor characteristics

10.4 MEMS sensors for SHM

10.5 Application examples

10.6 Long term technical challenges

10.7 Conclusion and future trends

10.8 Sources of further information and advice

10.9 References

11 Multifunctional materials and nanotechnology for assessing and monitoring civil infrastructures

11.1 Introduction

11.2 Properties of carbon nanomaterials

11.3 Cementitious-based composites

11.4 Fiber-reinforced polymer composites

11.5 Polymer-based thin films

11.6 Conclusion and future trends

11.7 References

12 Laser-based sensing for assessing and monitoring civil infrastructures

12.1 Introduction

12.2 Laser principles

12.3 Laser interferometry or electronic speckle pattern interferometry

12.4 Laser digital shearography

12.5 Laser scanning photogrammetry

12.6 Laser Doppler vibrometry

12.7 Laser-ultrasound

12.8 Other laser-based techniques

12.9 Civil infrastructure applications

12.10 Laser safety

12.11 Conclusion

12.12 References

13 Corrosion sensing for assessing and monitoring civil infrastructures

13.1 Introduction

13.2 Principles of corrosion

13.3 Corrosion evaluation techniques

13.4 Corrosion sensors for field monitoring

13.5 Conclusion and future trends

13.6 References

14 Vision-based sensing for assessing and monitoring civil infrastructures

14.1 Introduction

14.2 Vision-based measurement techniques for civil engineering applications

14.3 Important issues for vision-based measurement techniques

14.4 Applications for vision-based sensing techniques

14.5 Conclusions

14.6 Acknowledgment

14.7 References

15 Robotic sensing for assessing and monitoring civil infrastructures

15.1 Introduction

15.2 Vision-based robotic sensing for structural health monitoring (SHM)

15.3 Remote robotic sensing for SHM

15.4 Vibration-based mobile wireless sensors

15.5 Conclusions and future trends

15.6 References

16 Design and selection of wireless structural monitoring systems for civil infrastructures

16.1 Introduction

16.2 Overview of wireless networks

16.3 Hardware design and selection

16.4 Wireless sensor network software

16.5 Conclusion and future trends

16.6 Acknowledgments

16.7 References

17 Permanent installation of wireless structural monitoring systems in infrastructure systems

17.1 Introduction

17.2 Case study I – The Golden Gate Bridge, San Francisco, California, USA

17.3 Case study II – The Stork Bridge, Winterthur, Switzerland

17.4 Case study III – Jindo Bridge, Haenam/Jindo, South Korea

17.5 Case study IV – New Carquinez Bridge, Vallejo/ Crockett, California, USA

17.6 Conclusion

17.7 Acknowledgments

17.8 References

18 Energy harvesting for infrastructure sensing systems

18.1 Introduction

18.2 Harvester dynamic modeling

18.3 Power availability and the optimal harvesting admittance

18.4 Power extraction circuits

18.5 Ongoing advancements and future directions

18.6 References

Index

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