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Report - PEER - University of California, Berkeley

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3.2.2 Design for Tolerable Mean Annual Frequency <strong>of</strong> CollapseA different way to express desired collapse performance is to target a tolerable meanannual frequency (MAF) <strong>of</strong> collapse, λ Coll . This performance target is more general(it permits the estimation <strong>of</strong> the probability <strong>of</strong> collapse over an expected life time),but it is more difficult to implement because the “accurate” computation <strong>of</strong> a MAFrequires integration over the S a hazard curve. An approximate implementation ispossible by means <strong>of</strong> the simplified closed form expression proposed by Cornell(Cornell 1996), which estimates the MAF <strong>of</strong> collapse as follows:1 2 2λ Coll = ∫ FC|S( c | sa)| dλS a(sa)| = λS( ηC)exp( k β RC )(3)aa2SaThe simplified expression on the right-hand side contains the MAF <strong>of</strong> the spectralacceleration associated with the median collapse capacity, λ Sa (η C ), and a term thataccounts, in an approximate manner, for the uncertainties inherent in the computation<strong>of</strong> the collapse capacity. This term contains the slope <strong>of</strong> the hazard curve at thereferenced spectral acceleration value, k, and the dispersion(s) in the collapse fragilitycurve, β (the σ <strong>of</strong> the log <strong>of</strong> the data if a log-normal distribution is assumed for theprobability <strong>of</strong> collapse given the spectral acceleration). In the example illustratedhere only record-to-record (RTR) variability if considered, which is explicitlycontained in the fragility curves shown in Figure 5 (these fragility curves are obtainedby using an “expected” structural model subjected to 40 ground motions). Thus, theterm β RC in equation (3) expresses the effect <strong>of</strong> RTR variability only (“Randomness incollapse Capacity”), and is found to be on the order <strong>of</strong> 0.4 to 0.5 (except for longperiod structures for which it is smaller because <strong>of</strong> the dominance <strong>of</strong> P-delta effects).As an example, let us target a tolerable annual frequency <strong>of</strong> collapse <strong>of</strong> 0.0002(i.e., a tolerable probability <strong>of</strong> collapse <strong>of</strong> approximately 0.0002x50 = 0.01 in a 50year life). This criterion could be used, together with median collapse capacityspectra <strong>of</strong> the type shown in Figure 6(b), to arrive at effective design solutions. Againusing the example <strong>of</strong> a 9-story frame structure, the following design alternatives couldbe explored. If a period <strong>of</strong> 0.9 sec. and a component ductility capacity <strong>of</strong> δ c /δ y = 4 areassumed, then the median [S a (T 1 )/g]/γ value from Figure 6(b) is 7.7. For the sitespecific hazard curve <strong>of</strong> the previously illustrated example the slope <strong>of</strong> the S a hazardcurve in the neighborhood <strong>of</strong> a MAF <strong>of</strong> 0.0001 to 0.0004 is about 2.2, and the β RCvalue is about 0.4 (from collapse fragility analyses, Ibarra 2003). Thus, fromequation (3), the MAF <strong>of</strong> the S a associated with the median collapse capacity, λ Sa (η C ),is equal to 0.0002/exp(0.5x2.2 2 x0.4 2 ) = 0.000136. From the S a hazard curve for thesite <strong>of</strong> the example problem, the corresponding S a is 2.8g, and the corresponding γvalue is 2.8/7.7 = 0.36. Again, this is a larger value than that based on loss-controlledperformance targets. Alternatives are to increase the component ductility capacity (ifit is increased from 4 to 6, [S a (T 1 )/g]/γ is 8.9, and for the same λ Sa (η C ) <strong>of</strong> 0.000136the γ value becomes 2.8/8.9 = 0.31), or to increase the structure period. If, for515

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