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Identification of parametric ground motion random fields from spatially recorded seismic data
Journal article   Peer reviewed

Identification of parametric ground motion random fields from spatially recorded seismic data

A. Zerva and J. L. Beck
Earthquake engineering & structural dynamics, v 32(5), pp 771-791
25 Apr 2003

Abstract

arrays Bayesian analysis body waves data earthquakes elastic waves Engineering geology equations geologic hazards ground motion mathematical methods models numerical models S-waves seismic networks seismic waves Seismology site exploration spatial data spectral analysis statistical analysis stochastic processes
A methodology for the identification of random field models for the description of seismic ground motions recorded over extended areas is presented. The approach (i) embeds seismic ground motion parameter estimation in a probabilistic framework, and (ii) identifies simultaneously point and spatial models for the seismic ground motion random field from either smoothed or unsmoothed non-parametric spectral estimates. It is shown that parametric coherency estimates identified by means of this approach are stable and insensitive to the amount of smoothing performed on the empirical data. The approach and its findings have a significant impact on the evaluation of parametric ground motion models for the seismic response evaluation of lifelines. Abstract Copyright (2003), Wiley Periodicals, Inc.

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Collaboration types
Domestic collaboration
Web of Science research areas
Engineering, Civil
Engineering, Geological
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