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Soil Dynamics and Earthquake Engineering
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Stochastic analysis of seismic ground response for site classification methods verification

Authors: Ciancimino, A.; Foti, S.; Lanzo, G.;

Stochastic analysis of seismic ground response for site classification methods verification

Abstract

Abstract A database of numerical ground response analyses has been generated to assess the effectiveness of site classification schemes adopted in seismic building codes. 1-D Ground models have been generated with a stochastic approach based on a Monte Carlo procedure and the corresponding seismic response has been evaluated by the equivalent linear elastic approach for a set of natural strong motion records. The study is intended to contribute to the discussion of optimal subsoil classification schemes in terms of inter-class dispersion and reliability of the predicted amplification factors. Moreover some specific analyses have been performed to show the relevance of stiff layer inclusions and of nonlinear soil behavior on the performances of classification schemes. The variability observed for each class in the different systems indicates that simple classification schemes should be preferred according to Occam's razor statement.

Country
Italy
Keywords

Civil and Structural Engineering; Soil Dynamics and Earthquake Engineering; Geotechnical Engineering and Engineering Geology, Site response, stochastic analysis, site classification method

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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