The PEER NGA-Sub ground-motion intensity measure database is used to develop new conditional ground-motion models (CGMMs), a set of scenario-based models, and non-conditional models to estimate the cumulative absolute velocity () of ground motions from subduction zone earthquakes. In the CGMMs, the median estimate of is conditioned on the estimated peak ground acceleration (), the time-averaged shear-wave velocity in the top 30 m of the soil (), the earthquake magnitude (), and the spectral acceleration at the period of 1 s (). Multiple scenario-based models are developed by combining the CGMMs with pseudo-spectral acceleration () ground-motion models (GMMs) for and to directly estimate given an earthquake scenario and site conditions. Scenario-based models are capable of capturing the complex ground-motion effects (e.g. soil non-linearity and regionalization effects) included in their underlying / GMMs. This approach also ensures the consistency of the estimates with a design spectrum. In addition, two non-conditional GMMs are developed using Bayesian hierarchical regressions. Finally, we present comparisons between the developed models. The comparisons show that if non-conditional GMMs are properly constrained, they are consistent with scenario-based GMMs. The GMMs developed in this study advance the performance-based earthquake engineering practice in areas affected by subduction zone earthquakes.
New conditional, scenario-based, and non-conditional cumulative absolute velocity models for subduction tectonic settings
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Chenying Liu, Jorge Macedo; New conditional, scenario-based, and non-conditional cumulative absolute velocity models for subduction tectonic settings. Earthquake Spectra 2022;; 38 (1): 615–647. doi: https://doi.org/10.1177/87552930211043897
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