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Development of simplified Bridge-Weigh-In-Motion based on displacement evaluation using an accelerometer

 Development of simplified Bridge-Weigh-In-Motion based on displacement evaluation using an accelerometer
Autor(en): , , ,
Beitrag für IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022, veröffentlicht in , S. 407-414
DOI: 10.2749/prague.2022.0407
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In this study, an influence line of the girder displacement of the bridge was estimated by Bridge- Weigh-In-Motion using an accelerometer. Displacement was calculated by two times of integration of...
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Bibliografische Angaben

Autor(en): (Tokyo Institute of Technology, Civil and Environmental Engineering, Tokyo, Japan)
(Tokyo Institute of Technology, Civil and Environmental Engineering, Tokyo, Japan)
(Tokyo Institute of Technology, Civil and Environmental Engineering, Tokyo, Japan)
(University of Yamanashi, Civil and Environmental Engineering, Kohu, Japan)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022
Veröffentlicht in:
Seite(n): 407-414 Anzahl der Seiten (im PDF): 8
Seite(n): 407-414
Anzahl der Seiten (im PDF): 8
DOI: 10.2749/prague.2022.0407
Abstrakt:

In this study, an influence line of the girder displacement of the bridge was estimated by Bridge- Weigh-In-Motion using an accelerometer. Displacement was calculated by two times of integration of the measured acceleration. The data has the problem of low sensitivity due to a single sensor, and it contains measurement noise. To compensate for these problems, two correction methods were applied to the integration result. They were the baseline correction method and the drift correction method using boundary conditions of traffic-induced vibrations. It was shown that the result of integration was improved by using these methods. A calibration process to estimate the influence line of the bridge was proposed using iterative calculation method to optimize the result using local buses. It was shown that by using this method, vehicle detection and weight estimation can be performed with high accuracy, especially for large vehicles.

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