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Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study

To perform a comprehensive assessment of important infrastructures (like bridges), the process of structural health monitoring (SHM) is employed. The development and implementation of SHM systems are generally based on wireless sensor networks (WSN) platforms. However, most of the WSN platforms are...

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Autores principales: Sonbul, Omar S., Rashid, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611078/
https://www.ncbi.nlm.nih.gov/pubmed/37896561
http://dx.doi.org/10.3390/s23208468
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author Sonbul, Omar S.
Rashid, Muhammad
author_facet Sonbul, Omar S.
Rashid, Muhammad
author_sort Sonbul, Omar S.
collection PubMed
description To perform a comprehensive assessment of important infrastructures (like bridges), the process of structural health monitoring (SHM) is employed. The development and implementation of SHM systems are generally based on wireless sensor networks (WSN) platforms. However, most of the WSN platforms are battery-powered, and therefore, have a limited battery lifetime. The power constraint is generally addressed by applying energy harvesting (EH) technologies. As a result, there exists a plethora of WSN platforms and EH techniques. The employment of a particular platform and technique are important factors during the development and implementation of SHM systems and depend upon various operating conditions. Therefore, there is a need to perform a systematic literature review (SLR) for WSN platforms and EH techniques in the context of SHM for bridges. Although state-of-the-art review articles present multiple angles of the field, there is a lack of an SLR presenting an in-depth comparative study of different WSN platforms and EH techniques. Moreover, a systematic analysis is also needed for the exploration of other design considerations such as inspection scale (global/local), response type (static/dynamic), and types of sensors. As a result, this SLR selects 46 articles (during 2007–2023), related to EH techniques and WSN platforms in SHM for bridges. The selected articles are classified into three groups: WSN platforms, energy harvesting techniques, and a combination of both. Subsequently, a comparative analysis of WSN platforms and EH techniques is made. Furthermore, the selected articles (total = 46) are also explored in terms of sensor type, inspection scale, and response type. As a result, 17 different sensor types are identified. This research is significant as it may facilitate the various stakeholders of the domain during the selection of appropriate WSN platforms, EH techniques, and related design issues.
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spelling pubmed-106110782023-10-28 Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study Sonbul, Omar S. Rashid, Muhammad Sensors (Basel) Review To perform a comprehensive assessment of important infrastructures (like bridges), the process of structural health monitoring (SHM) is employed. The development and implementation of SHM systems are generally based on wireless sensor networks (WSN) platforms. However, most of the WSN platforms are battery-powered, and therefore, have a limited battery lifetime. The power constraint is generally addressed by applying energy harvesting (EH) technologies. As a result, there exists a plethora of WSN platforms and EH techniques. The employment of a particular platform and technique are important factors during the development and implementation of SHM systems and depend upon various operating conditions. Therefore, there is a need to perform a systematic literature review (SLR) for WSN platforms and EH techniques in the context of SHM for bridges. Although state-of-the-art review articles present multiple angles of the field, there is a lack of an SLR presenting an in-depth comparative study of different WSN platforms and EH techniques. Moreover, a systematic analysis is also needed for the exploration of other design considerations such as inspection scale (global/local), response type (static/dynamic), and types of sensors. As a result, this SLR selects 46 articles (during 2007–2023), related to EH techniques and WSN platforms in SHM for bridges. The selected articles are classified into three groups: WSN platforms, energy harvesting techniques, and a combination of both. Subsequently, a comparative analysis of WSN platforms and EH techniques is made. Furthermore, the selected articles (total = 46) are also explored in terms of sensor type, inspection scale, and response type. As a result, 17 different sensor types are identified. This research is significant as it may facilitate the various stakeholders of the domain during the selection of appropriate WSN platforms, EH techniques, and related design issues. MDPI 2023-10-14 /pmc/articles/PMC10611078/ /pubmed/37896561 http://dx.doi.org/10.3390/s23208468 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Sonbul, Omar S.
Rashid, Muhammad
Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study
title Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study
title_full Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study
title_fullStr Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study
title_full_unstemmed Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study
title_short Towards the Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Systematic Study
title_sort towards the structural health monitoring of bridges using wireless sensor networks: a systematic study
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611078/
https://www.ncbi.nlm.nih.gov/pubmed/37896561
http://dx.doi.org/10.3390/s23208468
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