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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
Autor(en): , ,
Beitrag für IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023, veröffentlicht in , S. 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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Bibliografische Angaben

Autor(en): (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: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023
Veröffentlicht in:
Seite(n): 1137-1143 Anzahl der Seiten (im PDF): 7
Seite(n): 1137-1143
Anzahl der Seiten (im PDF): 7
DOI: 10.2749/newdelhi.2023.1137
Abstrakt:

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.