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Determining and Investigating the Variability of Bridges’ Natural Frequencies with Ground-Based Radar

Michel, Chris 1; Keller, Sina 1
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Assessing the condition of bridge infrastructure requires estimating damage-sensitive features from reliable sensor data. This study proposes to estimate natural frequencies from displacement measurements of a ground-based interferometric radar (GBR). These frequencies are determined from the damped vibration after each vehicle crossing with least squares and compared to a Frequency Domain Decomposition result. We successfully applied the approach in an exemplary measurement campaign at a bridge near Coburg (Germany) with an additional comparison to commonly used strain sensors. Since temperature greatly influences natural frequencies, linear regression is used to correct this influence. A simulation shows that GBR, combined with the least squares approach, achieves the lowest uncertainty and variation in the linear regression, indicating better damage detection results. However, the success of the damage detection highly depends on correctly determining the temperature influence, which might vary throughout the structure. Future work should further investigate the biases and variability of this influence.


Verlagsausgabe §
DOI: 10.5445/IR/1000146738
Veröffentlicht am 27.05.2022
Originalveröffentlichung
DOI: 10.3390/app12115354
Scopus
Zitationen: 4
Web of Science
Zitationen: 2
Dimensions
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2076-3417
KITopen-ID: 1000146738
Erschienen in Applied Sciences
Verlag MDPI
Band 12
Heft 11
Seiten Artk.Nr.: 5354
Projektinformation ZEBBRA (BMBF, 13N14708)
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 25.05.2022
Schlagwörter ground-based interferometric radar; structural health monitoring (SHM); modal analysis; natural frequency; remote sensing
Nachgewiesen in Dimensions
Web of Science
Scopus
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