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A robotic and automatic solution for identifying frequencies and high- resolution mode shapes of bridge structures – an experimental study

A robotic and automatic solution for identifying frequencies and high- resolution mode shapes of bridge structures – an experimental study
Author(s): , ,
Presented at IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023, published in , pp. 1137-1143
DOI: 10.2749/newdelhi.2023.1137
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This study presents an automated robotic solution for identifying frequencies and high-resolution mode shapes of bridge structures. In this solution, a programmable wheeled robot, whose movement ca...
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Bibliographic Details

Author(s): (Future Resilient Systems, Singapore-ETH Centre, Singapore)
(Future Resilient Systems, Singapore-ETH Centre, Singapore)
(Internet of Things Thrust, Information Hub, HKUST{GZ}, Guangzhou, China Department of Civil and Environmental Engineering, HKUST, Hong Kong, China)
Medium: conference paper
Language(s): English
Conference: IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023
Published in:
Page(s): 1137-1143 Total no. of pages: 7
Page(s): 1137-1143
Total no. of pages: 7
DOI: 10.2749/newdelhi.2023.1137
Abstract:

This study presents an automated robotic solution for identifying frequencies and high-resolution mode shapes of bridge structures. In this solution, a programmable wheeled robot, whose movement can be precisely and remotely controlled, acts as the mobile platform that carries an accelerometer, and another accelerometer is deployed on the tested structure as a stationary reference. By exploiting a mobile modal identification scheme, this study adopts an output-only frequency domain decomposition technique to extract frequencies and high-resolution mode shapes from the acceleration signals captured by both the mobile and stationary accelerometers. To validate the solution, a field test is conducted on a footbridge, where the frequencies and high- resolution shapes of the first two structural modes are successfully identified, using only two wireless accelerometers. This confirms the effectiveness and efficiency of the proposed solution.

Keywords:
modal identification Structural vibration Mobile sensing Wireless sensing Automated robot