Abstract
This paper uses a state-of-the-art joint input-state estimation algorithm to identify the modal load induced by a single pedestrian on a laboratory structure. The experimental setup involves a simply-supported concrete slab with a length of 7 m. A dynamic model of the lab structure is constructed from a finite element model that is calibrated using a set of experimentally identified modal characteristics. The estimated modal load as is compared with the numerically predicted modal load which uses the average single-step walking load as determined from direct force measurements, the location of the individual steps as identified from video processing and a numerical model of the structure. For the time interval where the pedestrian is crossing the slab, the estimated modal load is found to be in good agreement with the numerically predicted values. Following the last footstep of the pedestrian, the slab passes into a decaying free vibration whereby an exponentially decaying estimated input compensates for small errors in the modal properties.
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Acknowledgements
The first author is a post-doctoral fellow of the Research Foundation Flanders (FWO). The financial support is gratefully acknowledged.
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Van Nimmen, K., Maes, K., Van den Broeck, P., Lombaert, G. (2017). Identification of Human-Induced Loading Using a Joint Input-State Estimation Algorithm. In: Caicedo, J., Pakzad, S. (eds) Dynamics of Civil Structures, Volume 2 . Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-54777-0_44
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DOI: https://doi.org/10.1007/978-3-319-54777-0_44
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