Abstract:After a major earthquake, rapid community recovery is conditional on ensuring buildings are safe to reoccupy. Prior studies have developed statistical and machine learning-based classifiers to characterize a building’s collapse capacity to resist an aftershock given mainshock responses of the building. However, for rapid safety assessment, such a method must be coupled with an automated inspection methodology to collect damage information. Furthermore, probabilistic models of expected building performance must… Show more
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