Abstract
A novel real time system identification method for structural health monitoring in a multi-story buildings is presented. The goal is to identify structural parameters in order to improve damage detection methods. Here, structural dynamics is modeled by means of a wave equation with Kelvin damping, that relates the stiffness loss with reduction of shear wave velocity propagation of seismic movements in structural elements. The identification system requires only acceleration signals and is based on the least squares method with forgetting factor. Moreover, a new parameterization is presented based on linear integral filters, which eliminates constant disturbances and attenuate measurement noise. The experimental results through an RC building, validate the feasibility of the proposed method.
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Notes
- 1.
This identification system was first used in [10].
- 2.
We recommend to use a cutoff frequency with twice the maximum system frequency, to achieve correct filtering.
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Acknowledgements
This research was carried out with the support of UNAM-PAPIIT IN104218 grant.
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Morales-Valdez, J., Alvarez-Icaza, L., Escobar, J.A., Guerrero, H. (2020). Identification System for Structural Health Monitoring in Buildings. In: Dervilis, N. (eds) Special Topics in Structural Dynamics & Experimental Techniques, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-030-12243-0_6
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