Sensor Networks in Structural Health Monitoring: From Theory to Practice

• Autore: Chatzi Eleni
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (164 p.)
• Soggetto topico: Technology: general issues
• Soggetto non controllato: adjacent buildings; autoregressive with exogenous inputs; Bayesian inference; Bayesian model updating; bridges; computation time; damage detection and localization; damage identification; distributed sensor network; error-domain model falsification; evolutionary optimisation; frequency of entrainment; Gaussian process regression; inertial sensor fusion; instrumented particle; Internet of Things (IoT); iterative asset-management; MEMS; modal identification; mode shape curvatures; model updating; mutual information; n/a; practical applicability; probabilistic data-interpretation; sediment entrainment; semi-active control; sensor calibration; sensor placement optimisation; soil-structure interaction (SSI); structural dynamics; structural health monitoring; swarm-based parallel control (SPC); varying environmental and operational conditions
• Persona (resp. second.): DertimanisVasilis K; ChatziEleni
• Sommario/riassunto: The intense development of novel data-driven and hybrid methods for structural health monitoring (SHM) has been demonstrated by field deployments on large-scale systems, including transport, wind energy, and building infrastructure. The actionability of SHM as an essential resource for life-cycle and resilience management is heavily dependent on the advent of low-cost and easily deployable sensors Nonetheless, in optimizing these deployments, a number of open issues remain with respect to the sensing side. These are associated with the type, configuration, and eventual processing of the information acquired from these sensors to deliver continuous behavioral signatures of the monitored structures. This book discusses the latest advances in the field of sensor networks for SHM. The focus lies both in active research on the theoretical foundations of optimally deploying and operating sensor networks and in those technological developments that might designate the next generation of sensing solutions targeted for SHM. The included contributions span the complete SHM information chain, from sensor design to configuration, data interpretation, and triggering of reactive action. The featured papers published in this Special Issue offer an overview of the state of the art and further proceed to introduce novel methods and tools. Particular attention is given to the treatment of uncertainty, which inherently describes the sensed information and the behavior of monitored systems.
• Altri titoli varianti: Sensor Networks in Structural Health Monitoring
• Titolo autorizzato: Sensor Networks in Structural Health Monitoring: From Theory to Practice
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557504303321
• Lo trovi qui: Univ. Federico II