A robotic and automatic solution for identifying frequencies and high- resolution mode shapes of bridge structures – an experimental study
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Bibliografische Angaben
Autor(en): |
Xudong Jian
(Future Resilient Systems, Singapore-ETH Centre, Singapore)
Eleni Chatzi (Future Resilient Systems, Singapore-ETH Centre, Singapore) Zhilu Lai (Internet of Things Thrust, Information Hub, HKUST{GZ}, Guangzhou, China Department of Civil and Environmental Engineering, HKUST, Hong Kong, China) |
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Medium: | Tagungsbeitrag | ||||
Sprache(n): | Englisch | ||||
Tagung: | IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023 | ||||
Veröffentlicht in: | IABSE Congress New Delhi 2023 | ||||
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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. |