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Report - PEER - University of California, Berkeley

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Figure 3a, shows an example <strong>of</strong> fragility function for the first damage state <strong>of</strong> areinforced concrete column in the building. It is observed that the EDP, which in thiscase corresponds to the interstory drift ratio, associated to certain damage states <strong>of</strong>structural components exhibits a very large scatter. In order to reduce the uncertaintyin damage estimation for these damage states fragility surfaces were developed(Aslani and Miranda 2004a). In a fragility surface the mean and standard deviation <strong>of</strong>EDP corresponding to a damage state are evaluated as a function <strong>of</strong> a new parameter,α, which allows the incorporation <strong>of</strong> additional information. The parameter α canincorporate information on the element (e.g., geometry, detailing, etc.), its loadingand or a combination <strong>of</strong> the two. The probability <strong>of</strong> exceeding the damage state isthen estimated as a function <strong>of</strong> the level <strong>of</strong> EDP in the component but also as afunction <strong>of</strong> the parameter α. Figures 3b and 3c present examples <strong>of</strong> the fragilitysurfaces developed to estimate the probability <strong>of</strong> experiencing a shear failure and orthe loss <strong>of</strong> vertical load carrying capacity in non-ductile reinforced concrete columnsFor more details on the fragility curves and fragility surfaces <strong>of</strong> structural componentsthe reader is referred to Aslani and Miranda 2004a.Consistent with parameters used in FEMA 356, fragility functions for nonstructuralcomponents were developed as a function <strong>of</strong> either IDR and PFA. Nonstructuralcomponents were assumed to be sensitive to only one <strong>of</strong> these parameters.Figure 4a presents an example <strong>of</strong> fragility functions developed for gypsum boardpartitions as a function <strong>of</strong> the level <strong>of</strong> the IDR imposed to the partition. Figure 4bpresents an example <strong>of</strong> fragility functions developed for suspended ceilings as afunction <strong>of</strong> the level <strong>of</strong> the PFA in the component. More details on the fragility <strong>of</strong>nonstructural components are presented in Taghavi and Miranda (2003a).3.3 Estimation <strong>of</strong> the Probability <strong>of</strong> CollapseAs shown in Eqs (2) and (5) both the expected value <strong>of</strong> the losses and the dispersion<strong>of</strong> the losses for a given ground motion intensity require an estimate <strong>of</strong> the probability<strong>of</strong> collapse. Two different approaches were used to estimate the probability <strong>of</strong>collapse. In one approach collapse was produced by the occurrence <strong>of</strong> lateral dis-P(DM 1 |EDP i )Column1.00.80.60.40.20.00.000 0.010 0.020EDP [IDR]P (DM 2 | EDP i )1.00.50.00.080.04EDP [ IDR]0.000.300.150.00α shearP (DM 3 |EDP i )1.00.50.00.100.05EDP [ IDR]0.0020.010.00.0α AxialFigure 3. Fragility assessment <strong>of</strong> non-ductile reinforced concrete columns.155

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