Damage assessment of a railway bridge based on vibration monitoring

Author(s):  
Y Oshima ◽  
K Sugiura ◽  
J Kim
2020 ◽  
Vol 12 (16) ◽  
pp. 2594
Author(s):  
Qihuan Huang ◽  
Yian Wang ◽  
Guido Luzi ◽  
Michele Crosetto ◽  
Oriol Monserrat ◽  
...  

With the continuous expansion of the high-speed railway network in China, long-span railway bridges carrying multiple tracks demand reliable and fast testing procedures and techniques. Bridge dynamic behavior analysis is a critical process in ensuring safe operation of structures. In this study, we present some experimental results of the vibration monitoring of a four-track high-speed railway bridge with a metro–track on each side: the Nanjing–Dashengguan high-speed railway bridge (NDHRB). The results were obtained using a terrestrial microwave radar interferometer named IBIS-S. The radar measurements were interpreted with the support of lidar point clouds. The results of the bridge dynamic response under different loading conditions, including high-speed trains, metro and wind were compared with the existing bridge structure health monitoring (SHM) system, underlining the high spatial (0.5 m) and temporal resolutions (50 Hz–200 Hz) of this technique for railway bridge dynamic monitoring. The detailed results can help engineers capturing the maximum train-induced bridge displacement. The bridge was also monitored by the radar from a lateral position with respect to the bridge longitudinal direction. This allowed us to have a more exhaustive description of the bridge dynamic behavior. The different effects induced by the passage of trains through different tracks and directions were distinguished. In addition, the space deformation map of the wide bridge deck under the eccentric load of trains, especially along the lateral direction (30 m), can help evaluating the running stability of high-speed trains.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
You-Liang Ding ◽  
Peng Sun ◽  
Gao-Xin Wang ◽  
Yong-Sheng Song ◽  
Lai-Yi Wu ◽  
...  

Making use of long-term transverse vibration monitoring data of DaShengGuan Bridge, the early-warning method of train running safety of the high-speed railway bridge is established by adopting principal component analysis (PCA) method. Firstly, the root mean square (RMS) of the transverse acceleration of the main girder is used as the monitoring parameter for the train running safety. The correlation model between the RMS values measured from different positions is further adopted as the evaluating model for the train running safety. Finally, the effects of the environmental changes on the evaluating model are eliminated using the PCA method and the warning index for the train running safety is further constructed. The analysis results show that the correlation between the RMS values of the accelerations from different measuring positions on the main girder can be analyzed by a quadratic polynomial fitting model. The PCA method can effectively remove the environmental effects on the quadratic polynomial fitting model. The proposed warning method provides a good capability for detecting the abnormal changes of the measured transverse accelerations and hence it is suitable for early-warning of the train running safety.


2021 ◽  
Author(s):  
Kristof Maes ◽  
Geert Lombaert

<p>Railway bridge KW51 in Leuven, Belgium, has been continuously monitored since October 2018. During the monitoring, the bridge was retrofitted to resolve a construction error that was noticed during inspection. The aim of the measurements is twofold. First, the strain measurements on the bridge deck are used to validate virtual strain sensing, which can be embedded in continuous fatigue monitoring to assess the stress cycles under train loading in critical details which are not measured. Second, it is investigated to what extent continuous monitoring of the modal characteristics of the bridge enables detecting changes in the structure that could potentially be attributed to damage. In this case, the retrofitting results in an actual state transition, which, as shown, can be identified from the natural frequency data. This paper summarizes the first results of the measurement campaign.</p>


2003 ◽  
Vol 87 (3) ◽  
pp. 42-48
Author(s):  
Helmut Wenzel ◽  
Georges Magonette ◽  
Peter Furtner ◽  
Francesco Marazzi

Author(s):  
L. He ◽  
E. Reynders ◽  
V. Zabel ◽  
G. C. Marano ◽  
B. Briseghella ◽  
...  

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