Reprint

Smart Sensors for Structural Health Monitoring

Edited by
November 2019
342 pages
  • ISBN978-3-03921-758-8 (Paperback)
  • ISBN978-3-03921-759-5 (PDF)

This book is a reprint of the Special Issue Smart Sensors for Structural Health Monitoring that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

Smart sensors are technologies designed to facilitate the monitoring operations. For instance, power consumption can be minimized through on-board processing and smart interrogation algorithms, and state detection enhanced through collaboration between sensor nodes. Applied to structural health monitoring, smart sensors are key enablers of sparse and dense sensor networks capable of monitoring full-scale structures and components. They are also critical in empowering operators with decision making capabilities. The objective of this Special Issue is to generate discussions on the latest advances in research on smart sensing technologies for structural health monitoring applications, with a focus on decision-enabling systems. This Special Issue covers a wide range of related topics such as innovative sensors and sensing technologies for crack, displacement, and sudden event monitoring, sensor optimization, and novel sensor data processing algorithms for damage and defect detection, operational modal analysis, and system identification of a wide variety of structures (bridges, transmission line towers, high-speed trains, masonry light houses, etc.).

Format
  • Paperback
License
© 2020 by the authors; CC BY license
Keywords
optical crack growth sensor; digital sampling moiré; 2D crack growth; calibration; concrete crack; feature extraction; mapping construction; fuzzy classification; rotary ultrasonic array; bending stiffness; damage identification; environmental noise; bridge; test vehicle; structural impact monitoring; sensors distribution optimization; NSGA-II; energy analysis of wavelet band; principal component analysis; transmission tower; settlement; wind force; acceleration; modal frequencies; sudden event monitoring; wireless smart sensors; demand-based nodes; event-triggered sensing; data fusion; patch antenna; sensor; structural health monitoring; crack identification; resonant frequency; damage identification; sensor optimization; Virtual Distortion Method (VDM); Particle Swarm Optimization (PSO) algorithm; sensitivity; structural health monitoring; piezoelectric wafer active sensors; active sensing; passive sensing; damage detection; acoustic emission; uniaxial stress measurement; structural steel members; amplitude spectrum; phase spectrum; shear-wave birefringence; acoustoelastic effect; damage detection; smartphones; steel frame; shaking table tests; wavelet packet decomposition; low-velocity impacts; strain wave; impactor stiffness; data processing; feature selection; impact identification; crack; strain; distributed dense sensor network; structural health monitoring; fibre bundle; reflective optical sensor; tip clearance; turbine; aero engine; principal component analysis; space window; time window; damage detection; length effect; stress detection; electromagnetic oscillation; steel strand; concrete structures; SHM; stretching method; model updating; displacement sensor; helical antenna; resonant frequency; perturbation theory; normal mode; wheel minor defect; high-speed train; online wayside detection; Bayesian blind source separation; FBG sensor array