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I terreni di Roma sotto l'aspetto della geologia tecnica
Author(s)
Language
Italian
Obiettivo Specifico
3.2. Tettonica attiva
Status
Published
Peer review journal
No
Title of the book
Issue/vol(year)
Sup 4/ (2005)
Publisher
SIGEA
Pages (printed)
33-46
Issued date
November 2005
Abstract
research project was carried out by the C.N.R. to develop an integrated
geological-geotechnical model of the subsoil of Rome. Data of more than 6000 boreholes
were archived in a GIS and used to develop the geological model; the results presented in this
work mainly focused on the upper Pleistocene-Holocene alluvial deposits. Information of
more than 2000 boreholes penetrating the alluvial deposits was encoded and elaborated using
geostatistics to model the sedimentary bodies. Spatial variability of the physical and
mechanical properties was also investigated to develop the geotechnical model. Multiple
linear regression, kriging, and cokriging were applied to estimate the drained friction angle φ’;
cross-validation demonstrates the cokriging with the PCA factors as auxiliary variables being
the most suitable method. In progress work on cokriging of φ’ using granulometries as
auxiliary variables demonstrates this approach to be viable for future applications.
geological-geotechnical model of the subsoil of Rome. Data of more than 6000 boreholes
were archived in a GIS and used to develop the geological model; the results presented in this
work mainly focused on the upper Pleistocene-Holocene alluvial deposits. Information of
more than 2000 boreholes penetrating the alluvial deposits was encoded and elaborated using
geostatistics to model the sedimentary bodies. Spatial variability of the physical and
mechanical properties was also investigated to develop the geotechnical model. Multiple
linear regression, kriging, and cokriging were applied to estimate the drained friction angle φ’;
cross-validation demonstrates the cokriging with the PCA factors as auxiliary variables being
the most suitable method. In progress work on cokriging of φ’ using granulometries as
auxiliary variables demonstrates this approach to be viable for future applications.
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