Zerva, A. and Beck, J. L. (1999) Updating Stochastic Models for Spatially Variable Seismic Ground Motions. In: Applications of statistics and probability : civil engineering reliability and risk analysis : proceedings of the ICASP 8 Conference, Sydney, New South Wales, Australia, 12-15 December 1999. Balkema , Rotterdam, Netherlands, pp. 527-533. ISBN 90 5809 086 8 http://resolver.caltech.edu/CaltechAUTHORS:20120926-083155457
Full text is not posted in this repository.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20120926-083155457
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.
|Item Type:||Book Section|
|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.|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Carmen Nemer-Sirois|
|Deposited On:||13 Nov 2012 22:00|
|Last Modified:||13 Nov 2012 22:00|
Repository Staff Only: item control page