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Evaluation of the effect of operational modal analysis algorithms on identified modal parameters of railway bridges

 Evaluation of the effect of operational modal analysis algorithms on identified modal parameters of railway bridges
Auteur(s): , ,
Présenté pendant IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021, publié dans , pp. 441-449
DOI: 10.2749/ghent.2021.0441
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The accuracy of modal parameters identified by Operational Modal Analysis (OMA) algorithms is of vital importance in vibration-based health monitoring. This paper reports the effects of using diffe...
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Détails bibliographiques

Auteur(s): (Dept. of Civil Eng. And Energy Technology, Oslo Metropolitan University, Oslo, Norway)
(Dept. of Civil Eng. And Energy Technology, Oslo Metropolitan University, Oslo, Norway)
(Dept. of Civil Eng. And Energy Technology, Oslo Metropolitan University, Oslo, Norway)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021
Publié dans:
Page(s): 441-449 Nombre total de pages (du PDF): 9
Page(s): 441-449
Nombre total de pages (du PDF): 9
DOI: 10.2749/ghent.2021.0441
Abstrait:

The accuracy of modal parameters identified by Operational Modal Analysis (OMA) algorithms is of vital importance in vibration-based health monitoring. This paper reports the effects of using different OMA algorithms on identified modal parameters of railway bridges. For this purpose, comparison and application of three different OMA methods including FDD, ARX, SSI-COV are discussed. The vibration measurements are conducted on two railway bridges in Northern Norway for using five triaxial accelerometers. The first bridge is a single-span bridge with the length of 50 m, while the second is a two-span bridge with a total length of 85m. OMA has been conducted on the free vibration responses after passage of different types of trains including light-weight railway vehicles and heavily loaded iron ore trains to evaluate the variation of the identified modal parameters with the chosen algorithm and the vibration source on the OMA results.

Copyright: © 2021 International Association for Bridge and Structural Engineering (IABSE)
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