Vehicle-Assisted Techniques for Health Monitoring of Bridges

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dc.contributor.authorShokravi, Hoofar
dc.contributor.authorShokravi, Hooman
dc.contributor.authorHeidarrezaei , Mahshid
dc.contributor.authorKoloor, Seyed Saeid Rahimian
dc.contributor.authorPetrů, Michal
dc.date.accessioned2020-06-19T06:36:05Z
dc.date.available2020-06-19T06:36:05Z
dc.date.issued2020-06-19
dc.description.abstractBridges 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.cs
dc.format.extent29 strancs
dc.identifier.WebofScienceResearcherIDG-6623-2013 Petrů, Michal
dc.identifier.doi10.3390/s20123460
dc.identifier.orcid0000-0002-1820-6379 Koloor, Seyed Saeid Rahimian
dc.identifier.orcid0000-0002-7643-8450 Petrů, Michal
dc.identifier.urihttps://dspace.tul.cz/handle/15240/157202
dc.identifier.urihttps://www.mdpi.com/1424-8220/20/12/3460
dc.language.isocscs
dc.publisherMDPI
dc.relation.ispartofSensors 2020
dc.subjectstructural health monitoring (SHM)cs
dc.subjectdrive-by damage detectioncs
dc.subjectindirect structural health monitoringcs
dc.subjectweigh in motion (WIM)cs
dc.subjectbridge weigh in motion (BWIM)cs
dc.subjectvehicle bridge interaction (VBI)cs
dc.titleVehicle-Assisted Techniques for Health Monitoring of Bridgescs
local.relation.issue12
local.relation.volume20
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