New conditional, scenario-based, and traditional peak ground velocity models for interface and intraslab subduction zone earthquakes. Issue 3 (August 2022)

• Record Type: Journal Article
• Authors: Liu, Chenying; Macedo, Jorge
• Is Part Of: Earthquake spectra. Volume 38:Issue 3(2022)
• Page Start: 2109
• Page End: 2134
• Publication Date: 2022-08
• Subjects: Peak ground velocity -- ground motion models -- subduction earthquake zones -- performance-based engineering -- conditional ground motion models; Earthquake engineering -- Periodicals; Earthquake engineering; Periodicals; 624.1762
• DOI: 10.1177/87552930211067817
• Languages: English
• ISSNs: 8755-2930

Abstract

The Pacific Earthquake Engineering Research (PEER) Center next-generation attenuation relationships for subduction zone earthquakes (NGA-Sub) ground motion database is used to develop new conditional ground motion models (CGMMs), several scenario-based ground motion models (GMMs), and a traditional GMM to estimate the peak ground velocity ( PGV ) for subduction zone (interface, intraslab) earthquakes. The PGV estimate in the CGMMs is conditioned on the rupture distance ( Rrup ), magnitude ( Mw ), time-averaged shear wave velocity in the top 30 m ( V s 30 ) and pseudo-spectral acceleration PSA ( T PGV ). The period T PGV in the CGMMs is magnitude dependent to account for the magnitude dependence of the earthquake source corner frequency in the Fourier amplitude spectrum. Several scenario-based models are developed by combining the CGMM with PSA GMMs to directly estimate PGV given an earthquake scenario and site condition. Scenario-based models capture the complex ground motion effects in the underlying PSA GMMs and ensure the consistency with a design PSA spectrum, which is desired in engineering practice. In addition, a traditional PGV GMM is developed using Bayesian hierarchical regression. Finally, we compare all of these models and find that the scenario-based models are consistent with the traditional model developed in this study giving confidence to their use. The conditional and traditional PGV GMMs developed in this study benefit the performance-based design of engineering systems affected by subduction earthquakes when PGV is an important intensity measure.