12.07.2015 Views

Report - PEER - University of California, Berkeley

Report - PEER - University of California, Berkeley

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Cumulative EAL ($000)5040(a)100%75%3050%2025%1000%0.0 0.5 1.0 1.5 2.0Cumulative EAL ($000)50403020100100%(b)75%50%25%0%10 100 1,000 10,000Spectral acceleration, gRecurrence time, yrFigure 2. Dominance <strong>of</strong> frequent events in EAL for Van Nuys building.Figure 3 shows EAL for the Van Nuys and 14 woodframe buildings calculated byMethod 1 (referred to in the figure as “exact”) and by Method 2 (referred to as“approximate”). We denote Method-1 EAL by EAL 1 , define estimation error asε ≡ EAL − EAL EAL(27)( )2 1 1and take the error for each case-study building as a sample <strong>of</strong> ε. We find the samplemean and sample standard deviation <strong>of</strong> this error are ε = 0.12 and s ε = 0.52,respectively. Thus, for these 15 buildings, the use <strong>of</strong> s EBE defined as the shaking with10% exceedance probability in 5 yr produces a fairly modest (12%) error in theestimate <strong>of</strong> EAL, relative to the exact method, which requires analysis <strong>of</strong> the completeseismic vulnerability function.As a final test, we calculated the error if one defines s EBE as shaking with 50%exceedance probability in 50 yr, and found ε = 0.06 and s ε = 0.47. Defining EBEthis way produces slightly more accurate results for the case-study buildings thanusing shaking intensity with 10% exceedance probability in 5 yr (as we have done),although at a the cost <strong>of</strong> meaningful risk communication.Approximate EAL ($)100,00010,0001,0001001010 100 1,000 10,000 100,000Exact EAL ($)146Van NuysWoodframeFigure 3. Comparing EAL by methods 1 and 2 for 15 sample buildings.

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