| Autor: |
Maximillian Weil, Christof Devriendt, Yacine Bel-Hadj, Adelmo Fernandes de Oliveira Junior, Wout Weijtjens |
| Přispěvatelé: |
Faculty of Engineering, Applied Mechanics, Acoustics & Vibration Research Group |
| Předmět: |
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| Zdroj: |
Vrije Universiteit Brussel |
| Popis: |
With the aim of reducing the carbon footprint of the construction industry, three pedestrian bridges, are currently being developed as Smart Circular Bridges (SCB). The bridges innovate through the use of a novel bio-composite material and by incorporating Structural Health Monitoring (SHM) technology, consisting of accelerometers and embedded optical strain sensors. This paper discusses the SHM setup and gives initial results from the first installed SCB. Analysis from a controlled test, consisting of an experimental modal analysis when the bridge was still in the factory, is compared to results found from a field test during the first months of operational use. Here, the acceleration data is processed using automated operational modal analysis. The effect of environmental variables on tracked frequencies and a strategy for simplifying datanormalization of the dynamic properties are detailed. Finally, alternative machine learning strategies could be used to detect anomalies in the spectrum or detect events occurring on the bridge from SHM data only. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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