A probabilistic approach to CPTU interpretation for regional-scale geotechnical modelling

L. Tonni, M.F. García Martínez, Irene Rocchi, S. Zheng, Z.J. Cao, L. Martelli, L. Calabrese

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    169 Downloads (Pure)

    Abstract

    The paper describes part of a study carried out to develop the geotechnical model of a coastal area on the Adriatic Sea, between the municipalities of Cesenatico and Bellaria-Igea Marina in the Emilia-Romagna region (Italy). A large experimental database, provided by the Geological, Seismic and Soil Survey of the Emilia-Romagna Authority, was used to develop a stratigraphic model of the upper 30 m subsoil of this coastal area, together with estimates of the mechanical parameters of the different soil units. A Bayesian approach was used to identify the most probable number of soil layers and their thicknesses, based on the Soil Behaviour Type Index obtained from CPTU results. This tool has already been used for small scale areas and its implementation in large datasets could eventually provide a preliminary estimate of the expected soil conditions at a site, taking into account statistically the inherent spatial variability in a rational and transparent way.
    Original languageEnglish
    Title of host publicationCone Penetration Testing 2018 : Proceedings of the 4th International Symposium on Cone Penetration Testing
    PublisherCRC Press
    Publication date2018
    Pages629-634
    ISBN (Print)978-1-138-58449-5
    ISBN (Electronic)9780429000485
    Publication statusPublished - 2018
    Event4th International Symposium on Cone Penetration Testing - Delft, Netherlands
    Duration: 21 Jun 201823 Jun 2018
    Conference number: 4

    Conference

    Conference4th International Symposium on Cone Penetration Testing
    Number4
    Country/TerritoryNetherlands
    CityDelft
    Period21/06/201823/06/2018

    Fingerprint

    Dive into the research topics of 'A probabilistic approach to CPTU interpretation for regional-scale geotechnical modelling'. Together they form a unique fingerprint.

    Cite this