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An Equivalent Point-Source Stochastic Simulation of the NGA-East Ground-Motion Models

Description: 

In this study, a point-source stochastic ground-motion model (GMM) is developed by utilizing a particle swarm optimization (PSO) to invert a weighted average of the median 5%-damped spectral acceleration predicted from the Next Generation Attenuation-East (NGA-East) ground-motion models (GMMs), yielding a well-constrained set of ground-motion parameters. First, algorithmic differentiation is used to ensure a broad range of magnitudes and distances are used in the inversion, and that each parameter has unique influence on the model. Then, the inversion is performed separately for magnitudes ranging M = 4.0-8.0. Each inversion includes rupture distances R_rup = 1-1000 km and periods T = 0.01-10s, and National Earthquake Hazard Reduction Program (NEHRP) Site Class A. This study is the first to perform a formal inversion using the GMMs developed for the NGA-East project. The approach has been validated by using simulated small-to-moderate magnitude and large-magnitude data derived from the NGA-West2 GMMs (Zandieh et al., 2016, 2018; Pezeshk et al., 2015).

Session: Numerical Modeling in Seismology: Developments and Applications [Poster]

Type: Poster

Date: 4/20/2023

Presentation Time: 08:00 AM (local time)

Presenting Author: Christine Assadollahi

Student Presenter: Yes

Invited Presentation: 

Authors