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Earthquake vulnerability of school buildings: Probabilistic structural fragility analyses
Institution:1. Bo?aziçi University, Department of Earthquake Engineering, 34684 Çengelköy, Istanbul, Turkey;2. Guy Carpenter & Company Ltd, Tower Place West, London EC3R 5BU, UK.;3. Columbia University, Department of Civil Engineering and Engineering Mechanics, 610 A S.W. Mudd Bldg., New York, NY 10027, USA;1. Graduate School of Natural Science and Technology, Kanazawa University, Japan;2. School of Geography, Planning and Environmental Policy, University College Dublin (UCD), Ireland;3. Faculty of Geography, University of Tabriz, Iran;1. Faculty of Civil and Environmental Eng., University of Iceland, Hjardarhagi 2, 107 Reykjavik, Iceland;2. Iceland Catastrophe Insurance, Hlídarsmári 14, 201 Kópavogur, Iceland;1. School of Civil Engineering, National Technical University of Athens (NTUA), Iroon Polytecheiou Street, Zografou Campus, 15780 Athens, Greece;2. Mechanical and Civil Engineering, California Institute of Technology (CALTECH), 1200E, California Boulevard, MC 104-44, Pasadena, CA 91125, United States
Abstract:The study presents probabilistic structural fragility assessment of public school buildings in Istanbul, which were constructed based on a standardized/typical project. The typical structure is a four-story, reinforced concrete shear wall building with moment resisting frames. Derivation of fragility functions rely on nonlinear dynamic analyses through Monte Carlo simulations. Nonlinear dynamic analyses are initially performed for a fully deterministic structural model based on the blueprints of the typical school building project. Uncertainties are introduced in different analysis cases following a modified version of the algorithm presented in Smyth et al. (2004) 21], which considers the effect of the random distribution of the parameters using a Monte Carlo approach. Aleatory uncertainties concerning material properties (i.e. compressive strength of concrete, yield strength of reinforcing steel and concrete density), geometrical characteristics (i.e. span lengths and story heights) and cross sectional dimensions of beams, columns and shear walls as well as epistemic uncertainty in the direction of ground motion excitation are considered. Statistical distributions for the parameters considered are obtained from in-situ measurements and material sampling tests. Fragility functions are produced in terms of peak ground acceleration and velocity as well as of the elastic spectral displacement at the first vibration period of the building. Mean damage ratios are calculated from the derived fragility functions. They are further compared to mean damage ratios calculated for similar building typologies provided in HAZUS-MH technical manual and in Istanbul building inventory.
Keywords:School buildings  Earthquake vulnerability  Nonlinear dynamic analysis  Monte Carlo simulation  Probabilistic fragility analysis  Mean damage ratio  Istanbul
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