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

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Yes, you can access Sensor Technologies for Civil Infrastructures by Jerome P. Lynch,Hoon Sohn,Ming L. Wang in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Civil Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Woodhead Publishing

Year

2022

ISBN

9780081026977

Edition

Topic

Technology & Engineering

Subtopic

Civil Engineering

Index

Technology & Engineering

Cover image
Title page
Table of Contents
Copyright
List of contributors
Part One. Introduction and sensor technologies
Part Two. Sensor data management
Index