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.
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Table of Contents
Part One: Introduction and sensor technologies 1 Introduction to sensors and sensing systems for civil infrastructure monitoring and asset management 2 Sensor data acquisition systems and architectures 3 Commonly used sensors for civil infrastructures and their associated algorithms 4 Piezoelectric transducers 5 Optical fiber sensors 6 Acoustic emission sensors for assessing and monitoring civil infrastructures 7 Radar technology: radio frequency, interferometric, millimeter wave and terahertz sensors for assessing and monitoring civil infrastructures 8 Electromagnetic sensors for assessing and monitoring civil infrastructures 9 Microelectromechanical systems for assessing and monitoring civil infrastructures 10 Laser-based sensing for assessing and monitoring civil infrastructures 11 Vision-based sensing for assessing and monitoring civil infrastructures 12 Introduction to wireless sensor networks for monitoring applications: principles, design, and selection 13 Vibration energy harvesters for sensing applications
Part Two: Sensor data management 14 Data management technologies for infrastructure monitoring 15 Sensor data analysis, reduction, and fusion for assessing and monitoring civil infrastructures 16 Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures 17 Output-only modal identification and structural damage detection using timeefrequency and wavelet techniques for assessing and monitoring civil infrastructures 18 Deep learning and data analytics for assessing seismic performance of civil infrastructures 19 Prognosis and life-cycle assessment based on SHM information 20 Decision-making in SHM systems for asset management
