Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response
Using a two-axle test vehicle, a new drive-by-based bridge damage identification method is proposed in this study. The method firstly obtains the vehicle acceleration response of a vehicle passing through an undamaged bridge and a damaged bridge; then, the acceleration response is processed using su...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/12/3752 |
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| author | Xiaobiao Jiang Kun Ma Jiaquan Wu Zhengchun Li |
| author_facet | Xiaobiao Jiang Kun Ma Jiaquan Wu Zhengchun Li |
| author_sort | Xiaobiao Jiang |
| collection | DOAJ |
| description | Using a two-axle test vehicle, a new drive-by-based bridge damage identification method is proposed in this study. The method firstly obtains the vehicle acceleration response of a vehicle passing through an undamaged bridge and a damaged bridge; then, the acceleration response is processed using successive variational modal decomposition (SVMD) to obtain the intrinsic modal function (IMF) corresponding to the driving frequency; finally, the difference of the IMF is used to construct a damage indicator for damage identification of the bridge. The main findings of this study are as follows: (1) the constructed damage index can successfully identify single and multiple damages of bridges; (2) even in the case of pavement roughness, the proposed damage index is still able to identify the location of the damage; (3) the constructed damage index is not only applicable to simply supported bridges, but also applicable to the damage identification of continuous bridges; (4) the experiment shows that the proposed damage index can successfully identify the damage location, but the local vibration of the vehicle and the measurement noise interfere with the damage identification effect severely. |
| format | Article |
| id | doaj-art-a8fd4048837d4e519beb720ca1d0b9b4 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-a8fd4048837d4e519beb720ca1d0b9b42025-08-20T03:29:43ZengMDPI AGSensors1424-82202025-06-012512375210.3390/s25123752Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration ResponseXiaobiao Jiang0Kun Ma1Jiaquan Wu2Zhengchun Li3Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, ChinaFaculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, ChinaFaculty of Science, Kunming University of Science and Technology, Kunming 650500, ChinaFaculty of Science, Kunming University of Science and Technology, Kunming 650500, ChinaUsing a two-axle test vehicle, a new drive-by-based bridge damage identification method is proposed in this study. The method firstly obtains the vehicle acceleration response of a vehicle passing through an undamaged bridge and a damaged bridge; then, the acceleration response is processed using successive variational modal decomposition (SVMD) to obtain the intrinsic modal function (IMF) corresponding to the driving frequency; finally, the difference of the IMF is used to construct a damage indicator for damage identification of the bridge. The main findings of this study are as follows: (1) the constructed damage index can successfully identify single and multiple damages of bridges; (2) even in the case of pavement roughness, the proposed damage index is still able to identify the location of the damage; (3) the constructed damage index is not only applicable to simply supported bridges, but also applicable to the damage identification of continuous bridges; (4) the experiment shows that the proposed damage index can successfully identify the damage location, but the local vibration of the vehicle and the measurement noise interfere with the damage identification effect severely.https://www.mdpi.com/1424-8220/25/12/3752bridge damage identificationdrive-by methodsuccessive variational mode decomposition (SVMD)structural health monitoring |
| spellingShingle | Xiaobiao Jiang Kun Ma Jiaquan Wu Zhengchun Li Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response Sensors bridge damage identification drive-by method successive variational mode decomposition (SVMD) structural health monitoring |
| title | Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response |
| title_full | Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response |
| title_fullStr | Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response |
| title_full_unstemmed | Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response |
| title_short | Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response |
| title_sort | drive by bridge damage identification using successive variational modal decomposition and vehicle acceleration response |
| topic | bridge damage identification drive-by method successive variational mode decomposition (SVMD) structural health monitoring |
| url | https://www.mdpi.com/1424-8220/25/12/3752 |
| work_keys_str_mv | AT xiaobiaojiang drivebybridgedamageidentificationusingsuccessivevariationalmodaldecompositionandvehicleaccelerationresponse AT kunma drivebybridgedamageidentificationusingsuccessivevariationalmodaldecompositionandvehicleaccelerationresponse AT jiaquanwu drivebybridgedamageidentificationusingsuccessivevariationalmodaldecompositionandvehicleaccelerationresponse AT zhengchunli drivebybridgedamageidentificationusingsuccessivevariationalmodaldecompositionandvehicleaccelerationresponse |