Time domain probabilistic seismic risk analysis using ground motion prediction equations of Fourier amplitude spectra

Modeling of Fourier amplitude spectra (FAS) seismic motions has gained much attention in engineering seismology. In the past few years, several ground motion prediction equations (GMPEs) and inter-frequency correlation structure FAS have been established. Due to many preferable characteristics FAS, probabilistic hazard/risk analysis is rapidly changing from ergodic, spectrum acceleration Sa ( T 0 )-based approach non-ergodic, site-specific, FAS-based approach. This paper presents time domain intrusive framework for risk using GMPE FAS. Methodology stochastic modeling based on GMPEs presented some detail. The simulated uncertain are modeled as a random process represented by polynomial chaos Karhunen-Loève expansion. excitations further propagated into structural system Galerkin finite element method (SFEM). Probabilistic evolution response solved, such solution used develop any damage state. illustrated through four-story building subjected possible earthquakes two strike slip faults. influences epistemic uncertainties source stress drop Δ σ site attenuation κ investigated. need non-ergodic with source-specific specific characterizations emphasized. • Time (FAS). Emphasized