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Smart Structures and Systems Volume 22, Number 5, November 2018 , pages 631-641 DOI: https://doi.org/10.12989/sss.2018.22.5.631 |
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Effective Heterogeneous Data Fusion procedure via Kalman filtering |
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Gabriele Ravizza, Rosalba Ferrari, Egidio Rizzi and Eleni N. Chatzi
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| Abstract | ||
| This paper outlines a computational procedure for the effective merging of diverse sensor measurements, displacement and acceleration signals in particular, in order to successfully monitor and simulate the current health condition of civil structures under dynamic loadings. In particular, it investigates a Kalman Filter implementation for the Heterogeneous Data Fusion of displacement and acceleration response signals of a structural system toward dynamic identification purposes. The procedure is perspectively aimed at enhancing extensive remote displacement measurements (commonly affected by high noise), by possibly integrating them with a few standard acceleration measurements (considered instead as noise-free or corrupted by slight noise only). Within the data fusion analysis, a Kalman Filter algorithm is implemented and its effectiveness in improving noise-corrupted displacement measurements is investigated. The performance of the filter is assessed based on the RMS error between the original (noise-free, numerically-determined) displacement signal and the Kalman Filter displacement estimate, and on the structural modal parameters (natural frequencies) that can be extracted from displacement signals, refined through the combined use of displacement and acceleration recordings, through inverse analysis algorithms for output-only modal dynamics identification, based on displacements. | ||
| Key Words | ||
| Structural Health Monitoring (SHM); Heterogeneous Data Fusion (HDF); displacement and acceleration measurements; Kalman Filter (KF); output-only structural identification | ||
| Address | ||
| Gabriele Ravizza, Rosalba Ferrari and Egidio Rizzi: University of Bergamo, Department of Engineering and Applied Sciences, viale G. Marconi 5, I-24044 Dalmine (BG), Italy Eleni N. Chatzi: Institute of Structural Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Stefano-Franscini-Platz 5, CH-8093 Zürich, Switzerland | ||