12.07.2015 Views

Report - PEER - University of California, Berkeley

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Conditional Probability <strong>of</strong>Damage State10.80.60.40.200 0.02 0.04 0.06 0.08 0.1Interstory Drift RatioYieldingBucklingFracturingFigure 5. Representative structural fragility — local damage states.1.00Conditional Probabilty <strong>of</strong>Damage State0.800.600.400.200.000 0.02 0.04 0.06 0.08 0.1Peak Interstory Drift Ratio1% residual drift2% Residual Drift3% residual driftCollapseFigure 6. Representative structural fragility — global damage states.Nonstructural fragilities serve the same purpose as structural fragilities. TheEDP used to predict nonstructural component or system damage will, in general, bedifferent than that used to predict structural damage. EDPs that are likely to be usefulfor predicting damage <strong>of</strong> nonstructural components mounted on or within a structureinclude peak floor response accelerations at the fundamental mode <strong>of</strong> thenonstructural component and peak inter-story drift at the levels <strong>of</strong> attachment <strong>of</strong> thecomponent. Damage states that may be meaningful for nonstructural components andsystems include loss <strong>of</strong> function, loss <strong>of</strong> structural integrity and toppling. Each class<strong>of</strong> nonstructural component or system, such as suspended ceilings, fire sprinklersystems, and interior partitions will have different fragility functions, tied to severaldifferent EDPs. These can be determined through collection <strong>of</strong> earthquakeperformance data on damage sustained by actual installations, through laboratorytesting programs and in some cases, through structural analysis, just as would be donefor the building structure itself. There are so many types <strong>of</strong> nonstructural componentsin a building that it is an impractically difficult task for the ATC-58 project to develop97

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