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.
- Describes sensing hardware and data collection, covering a variety of sensors including LIDAR
- Examines fiber optic systems, acoustic emission, piezoelectric sensors, electromagnetic sensors, terahertz technologies, ultrasonic methods, and radar and millimeter wave technology
- Covers strain gauges, micro-electro-mechanical systems (MEMS), multifunctional materials and nanotechnology for sensing, and vision-based sensing and lasers
- Includes new chapters on machine learning methods and reliability analysis
Sensor data management 16. Sensor data management technologies for infrastructure asset management 17. Sensor data analysis, reduction and fusion for assessing and monitoring civil infrastructures 18. Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures 19. Output only modal identification and structural damage detection using time frequency and wavelet techniques for assessing and monitoring civil infrastructures 20. Machine Learning Methods for SHM 21. Prognosis and life-cycle assessment based on SHM information 22. Decision Making in SHM Systems for Asset Management
Distinguished Professor, Civil and Environmental Engineering, Northeastern University, USA.
Lynch, Jerome P.
Associate Professor, Department of Civil and Environmental Engineering, University of Michigan, USA
Professor Hoon Sohn, Korea Advanced Institute of Science and Technology, Korea.