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Article

Single-Camera-Based Bridge Structural Displacement Measurement with Traffic Counting

1
Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-hiroshima, Hiroshima 739-8527, Japan
2
Digital Monozukuri (Manufacturing) Education Research Center, 1-3-2 Kagamiyama, Higashi-hiroshima, Hiroshima 739-8511, Japan
3
Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-hiroshima, Hiroshima 739-8527, Japan
4
Keisoku Research Consultant Co., 1-665-1 Fukuda, Higashi-ku, Hiroshima, Hiroshima 732-0029, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Jesper Skottfelt
Sensors 2021, 21(13), 4517; https://doi.org/10.3390/s21134517
Received: 1 June 2021 / Revised: 24 June 2021 / Accepted: 28 June 2021 / Published: 1 July 2021
(This article belongs to the Section Sensing and Imaging)
Vision-based structural displacement methods allow convenient monitoring of civil structures such as bridges, though they are often limited due to the small number of measurement points, constrained spatial resolution, and inability to identify the acting forces of the measured displacement. To increase the number of measurement points in vision-based bridge displacement measurement, this study introduces a front-view tandem marker motion capture system with side-view traffic counting to identify the force-inducing passing vehicles on the bridge’s deck. The proposed system was able to measure structural displacement at submillimeter resolution on eight measurement points at once at a distance of 40.8–64.2 m from a front-view camera. The traffic counting system with a side-view camera recorded the passing vehicles from two opposing lanes. We conducted a 35-min experiment for a 25 m-span steel road bridge with hundreds of cars passing over it and confirmed dynamic displacement distributions with amplitudes of several millimeters when large vehicles passed. View Full-Text
Keywords: bridge vibration; displacement distribution measurement; digital image correlation; structural health monitoring; traffic counting; vehicle classification bridge vibration; displacement distribution measurement; digital image correlation; structural health monitoring; traffic counting; vehicle classification
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MDPI and ACS Style

Aliansyah, Z.; Shimasaki, K.; Senoo, T.; Ishii, I.; Umemoto, S. Single-Camera-Based Bridge Structural Displacement Measurement with Traffic Counting. Sensors 2021, 21, 4517. https://doi.org/10.3390/s21134517

AMA Style

Aliansyah Z, Shimasaki K, Senoo T, Ishii I, Umemoto S. Single-Camera-Based Bridge Structural Displacement Measurement with Traffic Counting. Sensors. 2021; 21(13):4517. https://doi.org/10.3390/s21134517

Chicago/Turabian Style

Aliansyah, Zulhaj, Kohei Shimasaki, Taku Senoo, Idaku Ishii, and Shuji Umemoto. 2021. "Single-Camera-Based Bridge Structural Displacement Measurement with Traffic Counting" Sensors 21, no. 13: 4517. https://doi.org/10.3390/s21134517

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