Smart Sensors for Structural Health Monitoring

• Autore: Laflamme Simon
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 online resource (342 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: 2D crack growth; acceleration; acoustic emission; acoustoelastic effect; active sensing; aero engine; amplitude spectrum; Bayesian blind source separation; bending stiffness; bridge; calibration; concrete crack; concrete structures; crack; crack identification; damage detection; damage identification; data fusion; data processing; demand-based nodes; digital sampling moiré; displacement sensor; distributed dense sensor network; electromagnetic oscillation; energy analysis of wavelet band; environmental noise; event-triggered sensing; FBG sensor array; feature extraction; feature selection; fibre bundle; fuzzy classification; helical antenna; high-speed train; impact identification; impactor stiffness; length effect; low-velocity impacts; mapping construction; modal frequencies; model updating; normal mode; NSGA-II; online wayside detection; optical crack growth sensor; Particle Swarm Optimization (PSO) algorithm; passive sensing; patch antenna; perturbation theory; phase spectrum; piezoelectric wafer active sensors; principal component analysis; reflective optical sensor; resonant frequency; rotary ultrasonic array; sensitivity; sensor; sensor optimization; sensors distribution optimization; settlement; shaking table tests; shear-wave birefringence; SHM; smartphones; space window; steel frame; steel strand; strain; strain wave; stress detection; stretching method; structural health monitoring; structural impact monitoring; structural steel members; sudden event monitoring; test vehicle; time window; tip clearance; transmission tower; turbine; uniaxial stress measurement; Virtual Distortion Method (VDM); wavelet packet decomposition; wheel minor defect; wind force; wireless smart sensors
• Persona (resp. second.): UbertiniFilippo; LiJian
• Sommario/riassunto: 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.).
• Titolo autorizzato: Smart Sensors for Structural Health Monitoring
• ISBN: 3-03921-759-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910367746603321
• Lo trovi qui: Univ. Federico II