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Report - PEER - University of California, Berkeley

Report - PEER - University of California, Berkeley

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was developed to accommodate these needs. In this equation, probabilistic functionslink earthquake intensity measures (IMs) with engineering demand parameters(EDPs). This relationship brings the engineer to what was traditionally the end <strong>of</strong> theanalysis. However, the <strong>PEER</strong> framework equations also provides a basis for goingbeyond EDPs by employing probabilistic relationships that link EDPs with damagemeasures (DMs) and subsequently DMs with decision variables (DVs). Specifically,in Eq. 1, ν ( DV ) is the mean annual probability that the decision variable DV exceedsa specific value, G DV DM is the conditional probability that DV exceeds aspecific value given a particular value <strong>of</strong> DM, dG DM EDP is the derivative (withrespect to DM) <strong>of</strong> the conditional probability that DM exceeds a limit value given aspecific value <strong>of</strong> EDP, dG EDP IM is the derivative (with respect to EDP) <strong>of</strong> theconditional probability that EDP exceeds a limit value given a specific value <strong>of</strong> IM,and dλ ( IM ) is the derivative <strong>of</strong> the seismic hazard curve, λ ( IM ).Multiple approaches are appropriate for incorporating information about buildingresponse into Eq. 1. For example, a building-specific EDP, such as maximum ro<strong>of</strong>drift, could be used to predict the damage state <strong>of</strong> the building, or component-specificEDPs could be used to predict the damage state <strong>of</strong> individual component, with thedamage state <strong>of</strong> the building defined by the cumulative damage states <strong>of</strong> all <strong>of</strong> thecomponents. It is generally accepted that the latter approach provides an opportunityto introduce more information into the process and thereby reduce uncertainty. Themodels developed here support the latter approach. Specifically, the results <strong>of</strong>previous research and practical experience are used to develop probabilisticrelationships linking EDPs with DMs for one type <strong>of</strong> structural component, olderbeam-column building joints.2. EXPERIMENTAL DATAA critical phase <strong>of</strong> this research effort was the identification <strong>of</strong> experimental datacharacterizing the progression <strong>of</strong> earthquake damage in older beam-column joints.The criteria used to choose laboratory test specimens, the characteristics <strong>of</strong> theexperimental test specimens, and variation in test specimens that could be expected toaffect damage progression are discussed in the following sections.2.1 Criteria Used To Identify Appropriate Laboratory Test SpecimensThree criteria were used to identify experimental data sets for use in this study. First,only laboratory specimens representative <strong>of</strong> pre-1967 construction were used. Areview <strong>of</strong> construction drawings for buildings designed prior to 1979 for constructionon the West Coast (Mosier 2000) were used as a basis for defining design details forolder joints. Table 1 lists Mosier’s statistics for critical joint design parameters. The210

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