Probabilistic integrated framework and models compatible with the reliability methods for seismic resilience assessment of structures

Abstract

An integrated probabilistic framework is proposed with a set of probabilistic models that are compatible with the reliability methods used in resilience-based design (RBD). Previous seismic resilience estimation frameworks primarily have used conditional probabilities and total probability integration to compute the expected seismic resilience index while considering the effects of only a few types of uncertainty. However, a high level of uncertainty is associated with seismic resilience estimation. This study presents a probabilistic framework and models that can consider the effect of unlimited uncertainties when calculating the probability distribution of the seismic resilience index for generating resilience curves. These curves reveal the probability of a building resilience index falling below a specific value and can be used in RBD for a building by considering its resilience. Probabilistic models that are compatible with the reliability methods are proposed for the ground motion intensity, building response, building damage, loss of functionality, recovery, and resilience of a building. The proposed models have been validated using information from HAZUS and were implemented in Rt software. The proposed framework and software are demonstrated through generation of a resilience curve for a typical four-story concrete moment-resisting frame building and the results are compared with outputs of conventional methods.