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Report - PEER - University of California, Berkeley

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can be used as a random variable <strong>of</strong> normal distribution. In Fig. 3 (b), the vertical axisis logarithm <strong>of</strong> the maximum displacement, and thus the linearity <strong>of</strong> a set <strong>of</strong> sampledata shows that the probability distribution <strong>of</strong> logarithm <strong>of</strong> maximum displacement isnormal. This verifies that the choice <strong>of</strong> probability distribution (log-normaldistribution) in the context <strong>of</strong> the derivation presented hereafter is appropriate.Probability1(a)Non-cumulativeCumulativeLN (max. displ.)6543(b)T=0.3 sec. T=0.6 sec. T=0.9 sec.0-2 -1 0 1 2Standard normal variate, s2-2 -1 0 1 2Standard normal variate, sFigure 3. Probability distribution and probability paper; (a) standard normalprobability distribution, (b) log-normal probability paper (S.R.=0.2).3.3 Fast Demand EstimationThe response database is a collection <strong>of</strong> pre-analyzed responses for a wide range <strong>of</strong>structures in the format <strong>of</strong> statistical correlation parameters. Therefore, the responseestimation <strong>of</strong> a structure can be instantly carried out because it entails only readingthe corresponding value from the latter database according to the given responseparameters such as stiffness and strength <strong>of</strong> the structure. Additionally the latterdatabase enables the analyst to construct vulnerability functions by dealing with onlytwo statistical parameters (mean and standard deviation) instead <strong>of</strong> massive data froma group <strong>of</strong> dynamic response history analyses. This feature renders the construction <strong>of</strong>vulnerability functions much easier than the conventional methods. Concurrently, thefidelity <strong>of</strong> information is maintained because the cumulative normal or log-normaldistribution that is used to represent the probability distribution <strong>of</strong> maximum responsedepends on only the mean and standard deviation <strong>of</strong> the used random variables.3.3.1 Response ParametersIn order to obtain mean (µ) and standard deviation (σ) <strong>of</strong> maximum responses usingthe database, the analyst needs to determine the structural idealization type andresponse parameters. In this paper, a bi-linear structural model was utilized, as shownin Fig. 4. The period and the non-dimensional strength ratio (S.R.) are utilized as themost convenient parameters. Strength ratio (S.R.) is defined as the ratio <strong>of</strong> lateralyield strength (P) to the total weight (W) <strong>of</strong> the structure. This is a convenientparameter that is used extensively in seismic design practice. It is noteworthy that theapproach presented in this paper is independent <strong>of</strong> the assumption <strong>of</strong> bilinear190

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