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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI
2020
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| Online Access: | http://eprints.utm.my/91802/1/NorhishamBakhary2020_VehicleAssistedTechniquesforHealth.pdf |
| _version_ | 1796865299474022400 |
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| author | Shokravi, Hoofar Shokravi, Hooman Bakhary, Norhisham Heidarrezaei, Mahshid Koloor, Seyed Saeid Rahimian Petru, Michal |
| author_facet | Shokravi, Hoofar Shokravi, Hooman Bakhary, Norhisham Heidarrezaei, Mahshid Koloor, Seyed Saeid Rahimian Petru, Michal |
| author_sort | Shokravi, Hoofar |
| collection | ePrints |
| 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 | 2024-03-05T20:54:53Z |
| format | Article |
| id | utm.eprints-91802 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:54:53Z |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | utm.eprints-918022021-07-28T08:47:37Z http://eprints.utm.my/91802/ Vehicle-assisted techniques for health monitoring of bridges Shokravi, Hoofar Shokravi, Hooman Bakhary, Norhisham Heidarrezaei, Mahshid Koloor, Seyed Saeid Rahimian Petru, Michal TA Engineering (General). Civil engineering (General) 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. MDPI 2020-06 Article PeerReviewed application/pdf en http://eprints.utm.my/91802/1/NorhishamBakhary2020_VehicleAssistedTechniquesforHealth.pdf Shokravi, Hoofar and Shokravi, Hooman and Bakhary, Norhisham and Heidarrezaei, Mahshid and Koloor, Seyed Saeid Rahimian and Petru, Michal (2020) Vehicle-assisted techniques for health monitoring of bridges. Sensors (Switzerland), 20 (12). pp. 1-29. ISSN 1424-8220 http://dx.doi.org/10.3390/s20123460 DOI:10.3390/s20123460 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Shokravi, Hoofar Shokravi, Hooman Bakhary, Norhisham Heidarrezaei, Mahshid Koloor, Seyed Saeid Rahimian Petru, Michal Vehicle-assisted techniques for health monitoring of bridges |
| 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 | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/91802/1/NorhishamBakhary2020_VehicleAssistedTechniquesforHealth.pdf |
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