Scripts underlying the publication: Predicting subsurface classification in 2D from cone penetration test data

DOI:10.4121/e36a2326-5492-420e-9fe5-05299c10d28c.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/e36a2326-5492-420e-9fe5-05299c10d28c
Datacite citation style:
Varkey, Divya; Hicks, Michael A.; van den Eijnden, Abraham P. (2025): Scripts underlying the publication: Predicting subsurface classification in 2D from cone penetration test data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e36a2326-5492-420e-9fe5-05299c10d28c.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains the script underlying the manuscript titled 'Predicting subsurface classification in 2D from cone penetration test data'. The script can be used for predicting the most likely 1D classification of the subsurface at CPT locations. The uncertainties in the CPT measurements and transformation to soil units are accounted for by integrating the Robertson chart with the Bayesian approach. The classification is carried out in two steps: (a) for a given number of layers, identifying the most probable soil layer thicknesses, and (b) identifying the most likely number of layers which, together with the most probable thicknesses, maximises the likelihood of observing the CPT measurements. The script can be used with any CPT data in .gef format.

History

  • 2025-01-13 first online, published, posted

Publisher

4TU.ResearchData

Format

Zipped python files

Funding

  • SOFTTOP: Investigating heterogeneous soft top soils for wave propagation, cyclic degradation and liquefaction potential (grant code DEEP.NL.2018.006) [more info...] Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience & Engineering

DATA

Files (1)