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Quantifying Sensitivity of Local Site Response Models to Statistical Variations in Soil Properties
 

Summary: Quantifying Sensitivity of Local Site Response Models
to Statistical Variations in Soil Properties
Josť E. Andrade1
and Ronaldo I. Borja2
Abstract: We perform a combined stochastic-deterministic analysis of local site
response using two computer codes, an equivalent linear analysis program SHAKE and a
fully nonlinear finite element code SPECTRA. Our goal is to compare the relative
sensitivity of the two codes to statistical variations in soil properties. For the case
studies, we re-analyze two ground motion records in Lotung, Taiwan, and one ground
motion record in Gilroy, California, utilizing the recorded ground motions at the site
deterministically as input into the two codes while treating the uncertain soil parameters
as random variables. We then obtain empirical cumulative distribution functions of Arias
intensity and acceleration spectrum intensity, two measures of cumulative damage, to
compare the relative sensitivity of the two codes to variations in model parameters. We
show that the two codes exhibit comparable sensitivities to statistical parameter
variations, indicating that even in the presence of fluctuations in the soil parameter values
it is possible to pursue a fully nonlinear site response analysis with SPECTRA and
benefit from its superior accuracy.
1
Graduate Student, Dept. of Civil and Environmental Engineering, Stanford

  

Source: Andrade, Jose - Department of Civil and Environmental Engineering, Northwestern University

 

Collections: Engineering