Sensor Networks in Structural Health Monitoring: From Theory to Practice

• Otros Autores: Chatzi, Eleni (Editor), Dertimanis, Vasilis K. (Editor)
• Formato: Electrónico Capítulo de libro
• Lenguaje: inglés
• Publicado: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Materias: Technology: general issues; probabilistic data-interpretation; Bayesian model updating; error-domain model falsification; iterative asset-management; practical applicability; computation time; swarm-based parallel control (SPC); Internet of Things (IoT); soil-structure interaction (SSI); semi-active control; adjacent buildings; Bayesian inference; model updating; modal identification; structural dynamics; bridges; sensor placement optimisation; structural health monitoring; damage identification; mutual information; evolutionary optimisation; inertial sensor fusion; instrumented particle; MEMS; sediment entrainment; sensor calibration; frequency of entrainment; varying environmental and operational conditions; damage detection and localization; Gaussian process regression; autoregressive with exogenous inputs; distributed sensor network; mode shape curvatures; n/a
• Acceso en línea: DOAB: download the publication; DOAB: description of the publication

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 an...