Sensor Networks in Structural Health Monitoring: From Theory to Practice

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...

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Інші автори:	Chatzi, Eleni (Редактор), Dertimanis, Vasilis K. (Редактор)
Формат:	Частина з книги
Опубліковано:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Предмети:	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
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Sensor Networks in Structural Health Monitoring: From Theory to Practice

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