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
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spelling Chatzi, Eleni edt
Sensor Networks in Structural Health Monitoring: From Theory to Practice
Sensor Networks in Structural Health Monitoring
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (164 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
Technology: general issues bicssc
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
3-0365-0632-2
3-0365-0633-0
Dertimanis, Vasilis K. edt
Chatzi, Eleni oth
Dertimanis, Vasilis K. oth
language English
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author2 Dertimanis, Vasilis K.
Chatzi, Eleni
Dertimanis, Vasilis K.
author_facet Dertimanis, Vasilis K.
Chatzi, Eleni
Dertimanis, Vasilis K.
author2_variant e c ec
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author2_role HerausgeberIn
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title Sensor Networks in Structural Health Monitoring: From Theory to Practice
spellingShingle Sensor Networks in Structural Health Monitoring: From Theory to Practice
title_full Sensor Networks in Structural Health Monitoring: From Theory to Practice
title_fullStr Sensor Networks in Structural Health Monitoring: From Theory to Practice
title_full_unstemmed Sensor Networks in Structural Health Monitoring: From Theory to Practice
title_auth Sensor Networks in Structural Health Monitoring: From Theory to Practice
title_alt Sensor Networks in Structural Health Monitoring
title_new Sensor Networks in Structural Health Monitoring: From Theory to Practice
title_sort sensor networks in structural health monitoring: from theory to practice
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (164 p.)
isbn 3-0365-0632-2
3-0365-0633-0
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