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A spectral pedestrian-based approach for modal identification

Jesus, André; Živanović, Stana; Alani, Amir

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Authors

Stana Živanović

Amir Alani



Abstract

The dynamic behaviour of footbridges is characterised by modal properties such as natural frequencies, mode shapes, damping ratios and modal masses. Their estimation via modal tests often requires expensive or difficult-to-operate equipment (e.g. shaker and instrumented impact hammer) or, sometimes unavailable high signal-to-noise ratios in tests relying on natural (e.g. wind, airborne noise and ground-borne vibration) excitation. In addition, the modal properties determined in modal tests do not necessarily apply to the structure under pedestrian traffic in case of amplitude-dependent frequencies and damping ratios. The current work proposes a novel approach that stands in contrast to the widely used tests, based on modal identification using an excitation induced by a single pedestrian. In order to account for estimation and observation uncertainties, the relationship between the power spectrum of the response and its modal properties is described with a likelihood function. It is shown that it is possible to reliably estimate modal properties using pedestrian walk forces measured in the laboratory, and dynamic responses measured when the same pedestrian is crossing a footbridge at timed pacing rates. The approach is validated using numerical and field data for a 16.9 m long fibre reinforced polymer footbridge. This work paves a new way for simple and low cost modal testing in structural dynamics.

Journal Article Type Article
Publication Date Mar 31, 2020
Journal Journal of Sound and Vibration
Print ISSN 0022-460X
Electronic ISSN 1095-8568
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 470
Article Number 115157
APA6 Citation Jesus, A., Živanović, S., & Alani, A. (2020). A spectral pedestrian-based approach for modal identification. Journal of Sound and Vibration, 470, https://doi.org/10.1016/j.jsv.2019.115157
DOI https://doi.org/10.1016/j.jsv.2019.115157
Keywords Mechanical Engineering; Acoustics and Ultrasonics; Mechanics of Materials; Condensed Matter Physics

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