Seismic Performance Assessment of a Tall Building Based on Real-Time Monitoring

To establish resilient communities, it is crucial to know the damage states of structures after catastrophic events such as earthquakes. For this purpose, probability density functions, which demonstrate the probability of failure for a prescribed damage parameter, have been adopted. The construction of such curves is dependent on results acquired through Finite Element Models (FEMs). However, due to the assumptions made in such models, seismic responses of buildings differ considerably from the simulated ones. Therefore, Structural Health Monitoring techniques have been adopted to update the FEMs based on modal parameters obtained from vibration-based identifications.

In this study, in order to examine feasible solutions to problems mentioned above, a twenty- six story, core-wall tall building in Istanbul was instrumented with data acquisition system. A real-time monitoring section, which displays vibration records from the building, is developed on the webpage of the research group. FEM of the structure was updated to represent the actual dynamic characteristics of the building. The seismic performance assessments of updated and non-updated FEMs are carried out with the ground motions which are selected according to the characteristics of the expected earthquake in İstanbul. Because of the fact that that the structure remains linear under the design-level earthquakes, probability density functions with identified damping and observed damping by different researches for inter-story drift ratios are established in order to find the probability of failure under those ground motions.