12.07.2015 Views

Report - PEER - University of California, Berkeley

Report - PEER - University of California, Berkeley

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• The influence on the dynamic response <strong>of</strong> the variability <strong>of</strong> the systemparametersIn the paper a method is presented which is simple and, at the same time, able toaccount for all <strong>of</strong> the above mentioned aspects. The method takes pr<strong>of</strong>it <strong>of</strong> ideas andproposals that have appeared in different forms in the recent literature, though notformulated in a similarly coherent framework. It is presented here together with anapplication <strong>of</strong> realistic character that <strong>of</strong>fers the possibility <strong>of</strong> exploring its features,among which effectiveness and practicality are believed to be the most attractiveones.2. RELIABILITY METHODIn the basic formulation <strong>of</strong> this method the variability <strong>of</strong> the response/demand isassumed to be due only to that <strong>of</strong> the ground motion, i.e., the structural response,given the input, is deterministic.In case the performance <strong>of</strong> the structure can be characterised by a single failuremode, or when one mode is dominant over the others, denoting by Dkthe maximumdemand in this failure mode due to the k-th accelerogram and by C thecorresponding capacity, completely defined by its cumulative distribution functionF ()C, the probability <strong>of</strong> failure conditional on the sample ground motion k is givenby:{ C ≤ D } F ( D )P = Pr =f , kk C k(1)By repeating the analysis with a number <strong>of</strong> accelerograms, the probability <strong>of</strong> failureunconditional with respect to sample variability can be simply obtained as:P1nnf= ∑ k =P1 f , k(2)where the number <strong>of</strong> samples must be large enough to ensure stable estimates <strong>of</strong> .In general, failure may occur according to different modes <strong>of</strong> comparableimportance (e.g., flexural failure, shear failure, joint failure, etc.) in differentmembers <strong>of</strong> the structure. If the failure events can be considered as independent andarranged in series, the probability <strong>of</strong> failure <strong>of</strong> the system is easily evaluated as:Pmmm{ C ≤ D } = 1−( 1−P ) = 1−− F ( D )i ikf ikC ik∏ ∏ [ ]i=1 ,i=1i=1f , ki=1Pr U (3)which is the generalisation <strong>of</strong> Eq.(1) for the case <strong>of</strong> m independent modes.222

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