KEYWORDS: Damage detection, Data modeling, Finite element methods, Earthquakes, 3D modeling, Dynamical systems, Genetic algorithms, MATLAB, Structural health monitoring, Chemical elements
A full-scale four-story steel building was tested on the shaking table of the E-defense project on September, 2007.
During the shaking table tests, the building was damaged progressively through various levels of seismic excitations, and
finally collapsed on the first floor. To evaluate the modal parameters, low-amplitude white noise excitations were applied
to the building and the response of the building was measured at various levels of damage due to the seismic excitations.
The subspace identification method is then applied to identify the modal parameters of the building based on the
measured data. This paper focuses on detecting damage of this building based on changes in identified modal
parameters. A finite element model updating strategy is applied to identify (detect, localize and quantify) the damage in
the building at each damage state considered. The residuals used in the updating procedure are based on the identified
natural frequencies and mode shapes for the first two X direction and Y direction vibration modes of the building. At last
the correlation between the damage detection results and the actual damage observed in the building is carefully
examined. They do not exactly coincide but the concentration regions of damage are highly consistent with each other.
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