New Insight in the Derivation of Amplification Factor By Taking Into Account Soil Parameters


Abstract eng:
It is currently admitted that the amplification factor (AF) is one of the best tools to describe site effects. AF depends on soil parameters that are derived from the geometrical and mechanical soil properties of the soil profile. Thus, it is important to identify which soil parameters shape the form of the AF. The aim of this paper is to measure the effects of various site parameters on the variation of AF. As the problem is highly complex, a tool using the GRNN (Generalized Regression Neural Network) to understand which soil parameters have been developed. For a particular soil profile it has been found that values of AF derived from GRNN approach are closer to that of 1D linear viscoelastic seismic analysis particularly if the number of parameters increases. Based on this result a sensitivity analysis has been conducted to identify which parameters give good AF. For the practical case where we have to introduce only two parameters, it has been observed that the couple [resonance frequency (f 0 ) , time-averaged shear-wave velocity in the top 30 m (Vs30)] is the most interesting.

Contributors:
Conference Title:
Conference Title:
16th World Conference on Earthquake Engineering
Conference Venue:
Santiago (CL)
Conference Dates:
2017-01-09 / 2017-01-13
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.



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 Record created 2017-01-18, last modified 2017-01-18


Original version of the author's contribution as presented on USB, paper 3821.:
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