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dc.contributor.authorCollico, Stefano
dc.contributor.authorPérez, N.
dc.contributor.authorDevincenzi, M.J.
dc.contributor.authorArroyo Alvarez de Toledo, Marcos
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria del Terreny
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2021-06-29T13:38:29Z
dc.date.available2021-06-29T13:38:29Z
dc.date.issued2018
dc.identifier.citationCollico, S. [et al.]. Applying Bayesian updating to CPT data analysis. A: International Symposium on Cone Penetration Testing. "Cone Penetration Testing 2018: proceedings of the 4th International Symposium on Cone Penetration Testing (CPT'18), 21-22 June, 2018, Delft, The Netherlands". CRC Press, 2018, p. 221-226. ISBN 9780429000485.
dc.identifier.isbn9780429000485
dc.identifier.urihttp://hdl.handle.net/2117/348084
dc.description.abstractEvaluation of geotechnical parameters on a project site is a necessary step in geotechnical engineering. However, due to the inherent variability of soil properties and the lack of data, many unavoidable uncertainties arise during a site-specific geotechnical characterization. This challenging task can be addressed under the Bayesian framework. The aim of this paper is to apply the Bayesian approach to a reference example of friction angle evaluation in sand, using the Bayesian Equivalent Sample Toolkit (BEST). BEST is an Excel VBA program for probabilistic characterization of geotechnical properties. In particular, in this study the statistical analysis has been performed using CPT tests from reference field studies. The results obtained for one case study involving CPT are discussed.
dc.description.sponsorshipThe first author’s work has been supported by the European Innovating Training Network SLATE (H2020-MSCA-ITN-201).
dc.format.extent6 p.
dc.language.isoeng
dc.publisherCRC Press
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Geotècnia
dc.subject.lcshSoil mechanics--Testing
dc.titleApplying Bayesian updating to CPT data analysis
dc.typeConference lecture
dc.subject.lemacMecànica dels sòls -- Proves
dc.contributor.groupUniversitat Politècnica de Catalunya. MSR - Mecànica del Sòls i de les Roques
dc.relation.publisherversionhttps://www.taylorfrancis.com/chapters/oa-edit/10.1201/9780429505980-26/applying-bayesian-updating-cpt-data-analysis-collico-perez-devincenzi-arroyo
dc.rights.accessOpen Access
local.identifier.drac31804542
dc.description.versionPostprint (published version)
local.citation.authorCollico, S.; Pérez, N.; Devincenzi, M.J.; Arroyo, M.
local.citation.contributorInternational Symposium on Cone Penetration Testing
local.citation.publicationNameCone Penetration Testing 2018: proceedings of the 4th International Symposium on Cone Penetration Testing (CPT'18), 21-22 June, 2018, Delft, The Netherlands
local.citation.startingPage221
local.citation.endingPage226


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