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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Main Authors: Hoofar Shokravi, Hooman Shokravi, Norhisham Bakhary, Mahshid Heidarrezaei, Seyed Saeid Rahimian Koloor, Michal Petrů
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
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.
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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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AT mahshidheidarrezaei vehicleassistedtechniquesforhealthmonitoringofbridges
AT seyedsaeidrahimiankoloor vehicleassistedtechniquesforhealthmonitoringofbridges
AT michalpetru vehicleassistedtechniquesforhealthmonitoringofbridges