Simulation of synthetic ground motions for specified earthquake and site characteristics

Sanaz Rezaeian, Armen Der Kiureghian

Earthquake Engineering & Structural Dynamics · 2010 · 331 citations · 33 references

Concepts

TL;DR

The study presents a method to generate synthetic ground‑motion time‑histories tailored to specified earthquake and site characteristics for design scenarios. The method employs a parameterized stochastic model driven by modulated filtered white‑noise, with parameters calibrated from NGA records and predictive equations linking them to faulting mechanism, magnitude, distance, and site shear‑wave velocity to produce ensembles of synthetic motions. Synthetic motions produced by the model reproduce key characteristics of real ground motions and match recorded response‑spectra statistics, making the method suitable for seismic design and analysis. © 2010 John Wiley & Sons, Ltd.

Abstract

Abstract A method for generating a suite of synthetic ground motion time‐histories for specified earthquake and site characteristics defining a design scenario is presented. The method employs a parameterized stochastic model that is based on a modulated, filtered white‐noise process. The model parameters characterize the evolving intensity, predominant frequency, and bandwidth of the acceleration time‐history, and can be identified by matching the statistics of the model to the statistics of a target‐recorded accelerogram. Sample ‘observations’ of the parameters are obtained by fitting the model to a subset of the NGA database for far‐field strong ground motion records on firm ground. Using this sample, predictive equations are developed for the model parameters in terms of the faulting mechanism, earthquake magnitude, source‐to‐site distance, and the site shear‐wave velocity. For any specified set of these earthquake and site characteristics, sets of the model parameters are generated, which are in turn used in the stochastic model to generate the ensemble of synthetic ground motions. The resulting synthetic acceleration as well as corresponding velocity and displacement time‐histories capture the main features of real earthquake ground motions, including the intensity, duration, spectral content, and peak values. Furthermore, the statistics of their resulting elastic response spectra closely agree with both the median and the variability of response spectra of recorded ground motions, as reflected in the existing prediction equations based on the NGA database. The proposed method can be used in seismic design and analysis in conjunction with or instead of recorded ground motions. Copyright © 2010 John Wiley & Sons, Ltd.

References

33