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Report - PEER - University of California, Berkeley

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all <strong>of</strong> the nonstructural fragility functions required to simulate a building’sperformance. The project will rely on independent researchers and the suppliers <strong>of</strong>nonstructural components for much <strong>of</strong> this data. An important task <strong>of</strong> the ATC-58project is the development <strong>of</strong> standard procedures for establishment <strong>of</strong> nonstructuralfragility parameters so that independent researchers and component suppliers candevelop this data. Figure 9 is a hypothetical fragility curve for a single drift-sensitivenonstructural component (exterior curtain walls) showing the probability <strong>of</strong> variousdamage states: cracking <strong>of</strong> panels, breakage <strong>of</strong> glass, fallout <strong>of</strong> glass, and failure <strong>of</strong>panel connections, as a function <strong>of</strong> interstory drift. The fragilities shown in the figureare illustrative only and are not representative <strong>of</strong> real data.Probabiltiy <strong>of</strong> Damage StateInitiation10.80.60.40.200 0.02 0.04 0.06 0.08 0.1Peak Interstory Drift RaioPanel CrackingGlass BreakingGlass FalloutConnection FailureFigure 7. Representative nonstructural fragility curve.Loss functions are used to estimate the probable value <strong>of</strong> the various losses,including repair costs, life loss and loss <strong>of</strong> use, given that the structure andnonstructural components and systems are damaged to different levels. Lossfunctions related to repair cost and restoration time can be developed by theorizingdifferent levels <strong>of</strong> damage to representative buildings and asking general contractorsand cost estimator to develop estimates <strong>of</strong> the cost and time to complete repair work.Estimation <strong>of</strong> losses and repair times associated with restoration <strong>of</strong> damaged facilitiestend to be highly uncertain and are dependent on such random factors as theefficiency <strong>of</strong> the contractor, the availability and pricing <strong>of</strong> labor and materials in thepost-earthquake environment, weather conditions, the occurrence <strong>of</strong> aftershocks, thetime necessary to effect designs for the repair, the specific repair methods developedby individual engineers, and whether or not the building will remain partiallyoccupied while repairs are implemented. Other uncertainties include the Owner’sefficiency in retaining design teams and contractors to perform the necessary work,the availability <strong>of</strong> insurance or other sources <strong>of</strong> funding for the repair work, and theoccupancy <strong>of</strong> the building and its tolerance to operations during repair work. Figure 8is a hypothetical loss function for the repair costs associated with damaged steelmoment connections. Similar loss functions will be developed for other types <strong>of</strong>structural and nonstructural damage and for restoration times.98

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