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Structural health monitoring

About: Structural health monitoring is a research topic. Over the lifetime, 11727 publications have been published within this topic receiving 186231 citations.


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Journal ArticleDOI
TL;DR: In this paper, the reliability of a long span truss bridge was evaluated using a probabilistic approach in terms of its component and system reliability indices, and it is shown that the responses due to temperature have a significant effect on the overall system reliability.

322 citations

Journal ArticleDOI
TL;DR: A comprehensive survey of SHM using WSNs is presented outlining the algorithms used in damage detection and localization, outlining network design challenges, and future research directions.
Abstract: Structural health monitoring (SHM) using wireless sensor networks (WSNs) has gained research interest due to its ability to reduce the costs associated with the installation and maintenance of SHM systems. SHM systems have been used to monitor critical infrastructure such as bridges, high-rise buildings, and stadiums and has the potential to improve structure lifespan and improve public safety. The high data collection rate of WSNs for SHM pose unique network design challenges. This paper presents a comprehensive survey of SHM using WSNs outlining the algorithms used in damage detection and localization, outlining network design challenges, and future research directions. Solutions to network design problems such as scalability, time synchronization, sensor placement, and data processing are compared and discussed. This survey also provides an overview of testbeds and real-world deployments of WSNs for SH.

319 citations

Journal ArticleDOI
TL;DR: A framework for structural health monitoring (SHM) using IoT technologies on intelligent and reliable monitoring is introduced and technologies involved in IoT and SHM system implementation as well as data routing strategy in IoT environment are presented.
Abstract: Internet of Things (IoT) has recently received a great attention due to its potential and capacity to be integrated into any complex system. As a result of rapid development of sensing technologies such as radio-frequency identification, sensors and the convergence of information technologies such as wireless communication and Internet, IoT is emerging as an important technology for monitoring systems. This paper reviews and introduces a framework for structural health monitoring (SHM) using IoT technologies on intelligent and reliable monitoring. Specifically, technologies involved in IoT and SHM system implementation as well as data routing strategy in IoT environment are presented. As the amount of data generated by sensing devices are voluminous and faster than ever, big data solutions are introduced to deal with the complex and large amount of data collected from sensors installed on structures.

319 citations

Journal ArticleDOI
TL;DR: This paper presents an enhanced CNN-based approach that requires only two measurement sets regardless of the size of the structure and successfully estimated the actual amount of damage for the nine damage scenarios of the benchmark study.

316 citations

Journal ArticleDOI
TL;DR: In this paper, a structural damage detection technique based on wavelet analysis of spatially distributed structural response measurements is proposed, which does not require any analysis of the complete structure in question nor any knowledge of the material properties and prior stress states of the structure.

310 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023600
20221,374
2021776
2020746
2019803
2018708