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Smart Monitoring and Assessment for Safe and Resilient Civil Infrastructure
Abstract The safety and resilience of civil infrastructure are getting more and more important, as the urban population increases rapidly and the urban infrastructural systems become more massive and complex. Accordingly their vulnerability to natural and man-made hazards becomes severer and more unpredictable. In this paper, recent R&D activities on smart monitoring and assessment of civil infrastructure are reviewed. At first various smart sensors and sensing technologies are introduced: namely wireless sensor networks, guided waves and electro-mechanical impedance methods using piezo-electric and magneto-strictive sensors for local damage detection, elasto-magneto-electric sensors, and multi-metric data fusion. Then applications of the monitored data are presented, such as modal identification, cable tension estimation, damage detection, FE model updating, and community resilience assessment. Emphases are placed on the advanced technologies, such as artificial neural networks, principal component analysis, genetic algorithm and data fusion, and their field applications to bridge, cable, building, and tower structures.
Smart Monitoring and Assessment for Safe and Resilient Civil Infrastructure
Abstract The safety and resilience of civil infrastructure are getting more and more important, as the urban population increases rapidly and the urban infrastructural systems become more massive and complex. Accordingly their vulnerability to natural and man-made hazards becomes severer and more unpredictable. In this paper, recent R&D activities on smart monitoring and assessment of civil infrastructure are reviewed. At first various smart sensors and sensing technologies are introduced: namely wireless sensor networks, guided waves and electro-mechanical impedance methods using piezo-electric and magneto-strictive sensors for local damage detection, elasto-magneto-electric sensors, and multi-metric data fusion. Then applications of the monitored data are presented, such as modal identification, cable tension estimation, damage detection, FE model updating, and community resilience assessment. Emphases are placed on the advanced technologies, such as artificial neural networks, principal component analysis, genetic algorithm and data fusion, and their field applications to bridge, cable, building, and tower structures.
Smart Monitoring and Assessment for Safe and Resilient Civil Infrastructure
Yun, C. B. (author) / Lou, Y. Z. (author) / Duan, Y. F. (author) / Tang, Z. F. (author)
2019-09-04
10 pages
Article/Chapter (Book)
Electronic Resource
English
Wireless , Piezo-electric , Magneto-strictive , EME sensors , Data fusion , Guided waves , Electro-mechanical impedance , Modal identification , FE model updating , Damage detection , Community resilience Engineering , Civil Engineering , Structural Materials , Sustainable Architecture/Green Buildings , Theoretical and Applied Mechanics , Computer-Aided Engineering (CAD, CAE) and Design
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