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Report - PEER - University of California, Berkeley

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In Eq.(2) the dependence <strong>of</strong>the fragility function is obtained by calculatingP on the intensity <strong>of</strong> the seismic action is omitted:fP ffor a convenient number <strong>of</strong>intensity values. The simplest version <strong>of</strong> the procedure is comprised in Eq.(2) and (3).Consideration <strong>of</strong> the correlation between failure modes, <strong>of</strong> the influence <strong>of</strong> thevariability <strong>of</strong> the mechanical parameters on the demand and <strong>of</strong> possible non serialarrangements <strong>of</strong> the failure events are all areas where the basic procedure can beimproved, as indicated in the following.In a general formulation <strong>of</strong> the problem, both the demands and the capacitiesshould be considered as functions <strong>of</strong> the basic variables x , i.e., ( x)iC iD ( x)i= D iC = and. In the basic procedure this dependence is ignored for what concerns thedemand and only partially accounted for at the capacities level through their marginaldistributions FC i() ⋅ . Actually, a significant degree <strong>of</strong> correlation normally existsamong the capacities Ci's. This correlation can be evaluated based on that existingamong the basic random variables x they have in common.In practice, most formulae for the capacity <strong>of</strong> failure modes <strong>of</strong> reinforcedconcrete members are built upon a relatively weak mechanical basis, to whichelements <strong>of</strong> empirical origin are added. These formulae are presumed to be unbiased(i.e., to provide a correct prediction <strong>of</strong> the mean value), but they are accompanied bya significant scatter due to modelling error. Since the capacity is generally a positivequantity, the general format <strong>of</strong> these formulae is additive when expressed in terms <strong>of</strong>some transformation <strong>of</strong> the capacity:Ci( ) εi= µ x +C i C(4)or multiplicative as in:Ci( ) εi= µ x ⋅C i C(5)In the former case ε is usually assumed to be a zero mean Gaussian randomCivariable, while in the latter it can be assumed to be a unit mean Lognormal variable. Ithas to be observed that for distinct failure modes the corresponding random variablesεC iand εCare usually considered as independent and this reduces the correlationjbetween the capacities Ciand Cj.Coming now to the demands, rather than calculating the failure probabilityconditional on the k-th sample <strong>of</strong> ground motion, as in the basic procedure, theresults Dikfrom the entire set <strong>of</strong> non linear structural analyses can be used tocompute the statistics <strong>of</strong> the D i's, which include mean values µD i, standard223

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