Healthcare buildings are one of the most critical facilities in any country for their important roles just after an earthquake. In this context, working on the resistance of healthcare facilities against earthquake is of great importance for a probable future earthquake. However, in today’s world, in either private or governmental agencies, buildings earthquake resistant design is not within the primary criteria such as social facilities and architectural details need for the residents. While the structural system in any building are often considered the most important in the performance, it represent approximately only 20% of the total building cost. Consequently, structural engineers should look the seismic performance in an extensive context, looking at all the systems of the building than just the damage to structural items and life-safety. So to response to this issue, a next generation of seismic performance-based design methodology and tools have been outlined in the FEMAP58 documents to allow engineers to query out the seismic performance of an entire building in terms of future life loss, facility repair cost and repair time and that we summarized and applied in this chapter for a six (6) story special moment frame healthcare building.
Part of the book: Natural Hazards
This chapter presents the results of an urban damage assessment after a moderate seismic event, the Mw 5.8 Silivri earthquake, which is the most significant earthquake to have struck the region since two major catastrophic earthquakes, the Mw 7.6 Kocaeli and the Mw 7.1 Düzce earthquakes. First, distribution maps for earthquake parameters and building damages using an appropriate ground motion prediction equation are created for İstanbul. Then, near-real-time hazard and damage distribution maps are generated using the data recorded during the event by the ground motion network established in Istanbul. Comparing the results of the two analyses reveals that the ground motion and damage distributions generated by the selected ground motion prediction equations (GMPEs) are more conservative than those generated by the network, and this is because the actual station data surpass the GMPE’s projections. This research concludes by emphasizing the significance of both GMPEs and densely installed ground motion station networks that capture real-time data during earthquakes and providing motivations for constructing or expanding such systems.
Part of the book: Natural Hazards