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  • Identifier: Https://doi.org/10.1016/j.soildyn.2019.04.002
  • Identifier Type: DOI
  • Doi: https://doi.org/10.1016/j.soildyn.2019.04.002
  • Url: https://www.sciencedirect.com/science/article/pii/S0267726118311114
  • Issn: 0267-7261
  • Type: article
  • Year: 2019
  • Pages: 79-93
  • Title: Seismic soil classification of Italy based on surface geology and shear-wave velocity measurements
  • Author: Forte G., Chioccarelli E., De Falco M., Cito P., Santo A., Iervolino I.
  • Volume: 122
  • Journal: Soil Dynamics and Earthquake Engineering
  • Abstract: During an earthquake the seismic wave amplification related to local site conditions can have a significant impact on the ground motion. In order to account for these local effects some proxies for the soil characteristics exist; e.g., the average shear-wave velocity of the upper 30 m (VS,30), or the equivalent shear-wave velocity from the ground to the depth of the seismic bedrock when this is less than 30 m VS,eq. The aim of this paper is to provide maps of seismic shallow soil classification for Italy accounting for two sources of information: site-specific measurements and large-scale geological maps. The soil maps are obtained via a four-step procedure: (1) a database of available site-specific investigations is built, covering (unevenly) the whole national territory; (2) twenty geo-lithological complexes are identified from the available geological maps; (3) the investigations are grouped as a function of the geo-lithological complex and the distribution of measured VS,30 and VS,eq are estimated; (4) medians and standard deviations of such distributions are assumed to be representative of the corresponding complexes. The statistics of investigations are used to derive the large-scale soil maps. To make the results of the study available, a stand-alone software has been developed. Despite not being adequate substitutes of site-specific studies such as microzonation and local site response analyses, the provided results can be useful for large-scale seismic risk studies.
  • Keywords: Probabilistic seismic hazard assessment, Regional seismic risk, Site classification, Soil classes, Seismic soil response
  • Unique_name: FORTE201979