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Folle, D.
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Folle, D.
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- PublicationRestrictedI terreni di Roma sotto l'aspetto della geologia tecnica(2005-11)
; ; ; ; ; ; ; ; ; ; ; ; ;Cavarretta, G.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Cavinato, G. P.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Mancini, M.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Moscatelli, M.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Patera, A.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Raspa, G.; Università di Roma "La Sapienza" ;Stigliano, F. P.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Vallone, R.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Folle, D.; Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil ;Garbin, F.; Geoplanning S.r.l. ;Milli, S.; Università di Roma "La Sapienza" ;Storoni Ridolfi, S.; ANAS s.p.a; ; ; ; ; ; ; ; ; ; ; 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.467 37 - PublicationOpen AccessGeotechnical characterization of the upper Pleistocene-Holocene alluvial deposits of Roma (Italy) by means of multivariate geostatistics: Cross-validation results(2008)
; ; ; ; ; ; ; ; ; ; ; ;Raspa, G.; Università La Sapienza, Roma, Italy ;Moscatelli, M.; CNR-IGAG, Roma, Italy ;Stigliano, F.; CNR-IGAG, Roma, Italy ;Patera, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia ;Marconi, F.; CNR-IGAG, Roma, Italy ;Folle, D.; Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil ;Vallone, R.; CNR-IGAG, Roma, Italy ;Mancini, M.; CNR-IGAG, Roma, Italy ;Cavinato, G. P.; CNR-IGAG, Roma, Italy ;Milli, S.; Università La Sapienza, Roma, Italy ;Coimbra Leite Costa, J. P.; Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; ; ; ; ; ; ; ; ; ; We are presenting an attempt to evaluate the spatial variability of geotechnical parameters in the upper Pleistocene–Holocene alluvial deposits of Roma (Italy) by means of multivariate geostatistics. The upper Pleistocene–Holocene alluvial deposits of Roma are sensitive to high levels of geohazard. They occupy a sizable and significant part of the city, being the foundation for many monuments, historical neighborhoods, and archaeological areas, and the main host of the present and future subway lines. We have stored information from more than 2000 geotechnical boreholes crossing the alluvial deposits into a relational database. For the present study, only the boreholes with lithologic/textural interpretation and geotechnical information were selected. The set includes 283 boreholes and 719 samples, which have a set of geotechnical information comprising physical properties and mechanical parameters. Techniques of multivariate statistics and geostatistics were combined and compared to evaluate the estimation methods of the mechanical parameters, with special reference to the drained friction angle from direct shear test (φ′). Principal Component Analysis was applied to the dataset to highlight the relationships between the geotechnical parameters. Through cross-validation analysis, multiple linear regression, kriging, and cokriging were tested as estimators of φ′. Cross-validation demonstrates that the cokriging with granulometries as auxiliary variables is the most suitable method to estimate φ′. In addition to proving that cokriging is a good estimator of φ′, cross-validation demonstrates that input data are coherent and this allows us to use them for estimation of geotechnical parameters, although they come from different laboratories and different vintages. Nevertheless, to get the same good results of cross-validation in estimation, it is necessary for granulometries to be available at grid points. Since this information being not available at all grid points, it is expected that, in the future, textural information can be derived in an indirect way, i.e., from lithologic/textural spatial reconstructions.723 4628 - PublicationOpen AccessGeothecnical modelling of the subsoil of Rome (Italy) by means of multivariate geostatistics(2006-09-03)
; ; ; ; ; ; ; ; ; ; ; ;Folle, D.; Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil ;Raspa, G.; Università di Roma "La Sapienza" ;Mancini, M.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Moscatelli, M.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Patera, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia ;Stigliano, F. P.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Vallone, R.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Cavinato, G. P.; CNR, Istituto di Geologia Ambientale e Geoingegneria ;Milli, S.; Università di Roma "La Sapienza" ;Garbin, F.; Geoplanning S.r.l. ;Storoni Ridolfi, S.; ANAS S.p.a.; ; ; ; ; ; ; ; ; ; A 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.223 257