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Published December 1999 | public
Book Section - Chapter

Updating Stochastic Models for Spatially Variable Seismic Ground Motions

Abstract

A methodology for the updating of stochastic 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; (ii) identifies temporal and spatial seismic ground motion characteristics simultaneously; and (iii) eliminates the requirement of spectral smoothing in coherency evaluations from recorded data. Thus, it provides more reliable estimates for seismic ground motion characterization than current practice; such estimates are necessary in the seismic response evaluation of lifelines.

Additional Information

AZ was supported by USA NSF grants CMS-9725567 and POWRE-CMS-9870509; the study was conducted while she was stationed at the California Institute of Technology. The NSF support and Caltech's hospitality are gratefully acknowledged. This paper is dedicated to the memory of Professor Donald E. Hudson of Caltech, a pioneer in the area of Earthquake Engineering.

Additional details

Created:
August 19, 2023
Modified:
October 19, 2023