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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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (164 p.)
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520 |a 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. 
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650 7 |a Technology: general issues  |2 bicssc 
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653 |a computation time 
653 |a swarm-based parallel control (SPC) 
653 |a Internet of Things (IoT) 
653 |a soil-structure interaction (SSI) 
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653 |a adjacent buildings 
653 |a Bayesian inference 
653 |a model updating 
653 |a modal identification 
653 |a structural dynamics 
653 |a bridges 
653 |a sensor placement optimisation 
653 |a structural health monitoring 
653 |a damage identification 
653 |a mutual information 
653 |a evolutionary optimisation 
653 |a inertial sensor fusion 
653 |a instrumented particle 
653 |a MEMS 
653 |a sediment entrainment 
653 |a sensor calibration 
653 |a frequency of entrainment 
653 |a varying environmental and operational conditions 
653 |a damage detection and localization 
653 |a Gaussian process regression 
653 |a autoregressive with exogenous inputs 
653 |a distributed sensor network 
653 |a mode shape curvatures 
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700 1 |a Dertimanis, Vasilis K.  |4 edt 
700 1 |a Chatzi, Eleni  |4 oth 
700 1 |a Dertimanis, Vasilis K.  |4 oth 
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