Comparison of Incremental Dynamic, Cloud, and Stripe Methods for ComputingProbabilistic Seismic Demand Models

摘要

Probabilistic seismic demand models (PSDMs) are mathematical relationsrnbetween measures of earthquake intensity and measures of structural response. Thernmodels include best estimates as well as considerations of uncertainty. Threernmethods for obtaining the demand models are compared in this paper: cloud,rnincremental dynamic, and stripe. A PSDM is derived using each method for a samplernreinforced concrete bridge using a single IM (first-mode spectral acceleration) andrnEDP (column drift ratio). Merits and drawbacks of each method are discussed. Forrnthe structure considered, cloud and incremental dynamic analyses yieldrninterchangeable PSDMs for the same amount of computational effort. Stripe analysisrnshould be used only for individual intensity levels, not as a means of generatingrncomplete PSDMs.