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 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.

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Journal
Sensors
Published
2025-06-16
DOI
https://doi.org/10.3390/s25123752
Citations
1
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.95
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article

Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response

Kun Ma, Jiaquan Wu, Xiaobiao Jiang, Zhi Li
1 citations
Sensors
Structural Health Monitoring Techniques
0.95
article

Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response

Kun Ma, Jiaquan Wu, Xiaobiao Jiang, Zhi Li
article en
1 citations

Abstract

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.

SensorsVol. 25(12)
Kunming University of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 25%
Structural Health Monitoring Techniques
0.95
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Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response — Kun Ma, Jiaquan Wu, et al. · Sensors (2025) | TGRS Research Map | TGRS