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Report - PEER - University of California, Berkeley

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The specimens listed in Table 2 have design details typical <strong>of</strong> pre-1967 constructionand were subjected to similar simulated earthquake load histories in the laboratory.However, as suggested by the data in Table 2 there are variations in both the designdetails and gravity loading. These variations contribute to variability in the observeddamage patterns and progression.3. IDENTIFYING DAMAGE STATES, ENGINEERING DEMANDPARAMETERS AND METHODS OF REPAIR3.1 Engineering Demand ParametersWithin the context <strong>of</strong> this study, an engineering demand parameter (EDP) is a scalaror functional quantity that defines the earthquake demand on a joint at any point inthe load history. Since the objective <strong>of</strong> the current study is to develop models for usein predicting joint damage given an EDP value, we are seeking to find the EDP thatmost accurately and precisely predicts joint damage. Since data characterizing theresponse <strong>of</strong> the laboratory test specimens discussed previously are used to developmodels linking EDPs with damage states and methods <strong>of</strong> repair, the domain <strong>of</strong>potential EDPs is limited to the data published by the experimental researchers.A review <strong>of</strong> the literature and the experimental data provides a basis foridentifying a series <strong>of</strong> five potential EDPs:• Maximum inter-story drift: Drift is a simply demand measure provided by allresearchers, and there is consensus within the earthquake engineeringcommunity that drift is a measure <strong>of</strong> earthquake demand. However, interstorydrift comprises flexural deformation <strong>of</strong> beams and columns as well asjoint deformation. Thus, it is an imperfect measure <strong>of</strong> joint deformationdemand.• Number <strong>of</strong> load cycles: Like drift, the number <strong>of</strong> load cycles is a simplydemand measure provided by all researchers and there is consensus withinthe earthquake engineering community that the number <strong>of</strong> load cycles has animpact on the observed response <strong>of</strong> components.• Maximum joint shear strain: Joint shear strain represents a substantialimprovement over inter-story drift, since it is a measure only <strong>of</strong> jointdeformation demand. However, joint shear strain data are provided by fewresearchers; the sparsity <strong>of</strong> these data may increase model uncertainty.• Drift in combination with the number <strong>of</strong> load cycles: The results <strong>of</strong> previousresearch suggest that earthquake demand on a component is bestcharacterized by a function that includes a measure <strong>of</strong> displacement demandand a measure <strong>of</strong> the number <strong>of</strong> load cycles. Given the availability <strong>of</strong> drift asa measure <strong>of</strong> joint deformation demand, a functional EDP that includes interstorydrift and number <strong>of</strong> load cycles is proposed:F +b d= aD cN(2)213

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