Vehicle-Assisted Techniques for Health Monitoring of Bridges
Bridges are designed to withstand different types of loads, including dead, live, environmental, and occasional loads during their service period. Moving vehicles are the main source of the applied live load on bridges. The applied load to highway bridges depends on several traffic parameters such a...
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MDPI AG
2020-06-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/20/12/3460 |
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author | Hoofar Shokravi Hooman Shokravi Norhisham Bakhary Mahshid Heidarrezaei Seyed Saeid Rahimian Koloor Michal Petrů |
author_facet | Hoofar Shokravi Hooman Shokravi Norhisham Bakhary Mahshid Heidarrezaei Seyed Saeid Rahimian Koloor Michal Petrů |
author_sort | Hoofar Shokravi |
collection | DOAJ |
description | Bridges are designed to withstand different types of loads, including dead, live, environmental, and occasional loads during their service period. Moving vehicles are the main source of the applied live load on bridges. The applied load to highway bridges depends on several traffic parameters such as weight of vehicles, axle load, configuration of axles, position of vehicles on the bridge, number of vehicles, direction, and vehicle’s speed. The estimation of traffic loadings on bridges are generally notional and, consequently, can be excessively conservative. Hence, accurate prediction of the in-service performance of a bridge structure is very desirable and great savings can be achieved through the accurate assessment of the applied traffic load in existing bridges. In this paper, a review is conducted on conventional vehicle-based health monitoring methods used for bridges. Vision-based, weigh in motion (WIM), bridge weigh in motion (BWIM), drive-by and vehicle bridge interaction (VBI)-based models are the methods that are generally used in the structural health monitoring (SHM) of bridges. The performance of vehicle-assisted methods is studied and suggestions for future work in this area are addressed, including alleviating the downsides of each approach to disentangle the complexities, and adopting intelligent and autonomous vehicle-assisted methods for health monitoring of bridges. |
first_indexed | 2024-03-10T19:01:50Z |
format | Article |
id | doaj.art-005f8ae0d9d845cb8e763bf87b367822 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T19:01:50Z |
publishDate | 2020-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-005f8ae0d9d845cb8e763bf87b3678222023-11-20T04:19:05ZengMDPI AGSensors1424-82202020-06-012012346010.3390/s20123460Vehicle-Assisted Techniques for Health Monitoring of BridgesHoofar Shokravi0Hooman Shokravi1Norhisham Bakhary2Mahshid Heidarrezaei3Seyed Saeid Rahimian Koloor4Michal Petrů5School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Johor 81310, MalaysiaDepartment of Civil Engineering, Islamic Azad University, Tabriz 5157944533, IranSchool of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Johor 81310, MalaysiaDepartment of Bioprocess Engineering, School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Johor 81310, MalaysiaInstitute for Nanomaterials, Advanced Technologies and Innovation (CXI), Technical University of Liberec (TUL), Studentska 2, 461 17 Liberec, Czech RepublicInstitute for Nanomaterials, Advanced Technologies and Innovation (CXI), Technical University of Liberec (TUL), Studentska 2, 461 17 Liberec, Czech RepublicBridges are designed to withstand different types of loads, including dead, live, environmental, and occasional loads during their service period. Moving vehicles are the main source of the applied live load on bridges. The applied load to highway bridges depends on several traffic parameters such as weight of vehicles, axle load, configuration of axles, position of vehicles on the bridge, number of vehicles, direction, and vehicle’s speed. The estimation of traffic loadings on bridges are generally notional and, consequently, can be excessively conservative. Hence, accurate prediction of the in-service performance of a bridge structure is very desirable and great savings can be achieved through the accurate assessment of the applied traffic load in existing bridges. In this paper, a review is conducted on conventional vehicle-based health monitoring methods used for bridges. Vision-based, weigh in motion (WIM), bridge weigh in motion (BWIM), drive-by and vehicle bridge interaction (VBI)-based models are the methods that are generally used in the structural health monitoring (SHM) of bridges. The performance of vehicle-assisted methods is studied and suggestions for future work in this area are addressed, including alleviating the downsides of each approach to disentangle the complexities, and adopting intelligent and autonomous vehicle-assisted methods for health monitoring of bridges.https://www.mdpi.com/1424-8220/20/12/3460structural health monitoring (SHM)drive-by damage detectionindirect structural health monitoringweigh in motion (WIM)bridge weigh in motion (BWIM)vehicle bridge interaction (VBI) |
spellingShingle | Hoofar Shokravi Hooman Shokravi Norhisham Bakhary Mahshid Heidarrezaei Seyed Saeid Rahimian Koloor Michal Petrů Vehicle-Assisted Techniques for Health Monitoring of Bridges Sensors structural health monitoring (SHM) drive-by damage detection indirect structural health monitoring weigh in motion (WIM) bridge weigh in motion (BWIM) vehicle bridge interaction (VBI) |
title | Vehicle-Assisted Techniques for Health Monitoring of Bridges |
title_full | Vehicle-Assisted Techniques for Health Monitoring of Bridges |
title_fullStr | Vehicle-Assisted Techniques for Health Monitoring of Bridges |
title_full_unstemmed | Vehicle-Assisted Techniques for Health Monitoring of Bridges |
title_short | Vehicle-Assisted Techniques for Health Monitoring of Bridges |
title_sort | vehicle assisted techniques for health monitoring of bridges |
topic | structural health monitoring (SHM) drive-by damage detection indirect structural health monitoring weigh in motion (WIM) bridge weigh in motion (BWIM) vehicle bridge interaction (VBI) |
url | https://www.mdpi.com/1424-8220/20/12/3460 |
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