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Real-Time and Web-Based Structural Damage Detection Network for Multiple Structures

Authors: Avci, Onur; Gül, Mustafa; Catbas, F. Necati; Celik, Ozan; Ince, Turker; Kiranyaz, Serkan;

Real-Time and Web-Based Structural Damage Detection Network for Multiple Structures

Abstract

A structural damage detection system specifically designed to monitor multiple structures at a network level is introduced in this paper. Such a monitoring system improves resiliency and helps manage the operation and maintenance of structures in an optimum way. The authors have focused on stadia-type laboratory structures for this network. Health monitoring of stadia has been conducted at multiple places in the world; however, a network of stadia monitored simultaneously with comprehensive monitoring purposes is not known to authors. For structural monitoring of multiple structures at a network level, the work presented in this paper explains and characterizes the major steps to reach this goal by focusing on three laboratory structures with a collaborative research effort among contributors from multiple universities across the globe. Acknowledgments The financial support for the research presented in this paper was provided by Qatar National Research Fund (QNRF, a member of the Qatar Foundation) via the National Priorities Research Program (NPRP), Project Number NPRP 6-526-2-218. The statements made herein are solely the responsibility of the authors. Scopus

Keywords

Structural health monitoring, Web-based monitoring, Vibration-based damage detection, Real-time damage detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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