<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper shows an example of the grouping of piezocone penetration test (CPTU) characteristics using functional data analysis, together with the results of clustering, in the form of a subsoil rigidity model. The subsoil rigidity model was constructed based on layer separation using the proposed method, as well as the <italic>k</italic>-means method. In the construction of the subsoil rigidity model, the constrained modulus <italic>M</italic> was applied. These moduli were determined from empirical relationships for overconsolidated and normally consolidated soils from Poland based on cone tip resistance.</p></abstract>

This paper shows an example of the grouping of piezocone penetration test (CPTU) characteristics using functional data analysis, together with the results of clustering, in the form of a subsoil rigidity model. The subsoil rigidity model was constructed based on layer separation using the proposed method, as well as the k-means method. In the construction of the subsoil rigidity model, the constrained modulus M was applied. These moduli were determined from empirical relationships for overconsolidated and normally consolidated soils from Poland based on cone tip resistance.

Use of functional cluster analysis of CPTU data for assessment of a subsoil rigidity

Studia Geotechnica et Mechanica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This paper shows an example of the grouping of piezocone penetration test (CPTU) characteristics using functional data analysis, together with the results of...

Use of functional cluster analysis of CPTU data for assessment of a subsoil rigidity

Article Category: Research Article

Pubblicato online: 03 ott 2018

Pagine: 117 - 124

Ricevuto: 14 gen 2018

Accettato: 17 ago 2018

DOI: https://doi.org/10.2478/sgem-2018-0017

Parole chiave
CPTU, cluster analysis, functional data, rigidity model

© 2018 Zb. Młynarek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Use of functional cluster analysis of CPTU data for assessment of a subsoil rigidity

Article Category: Research Article

Pubblicato online: 03 ott 2018

Pagine: 117 - 124

Ricevuto: 14 gen 2018

Accettato: 17 ago 2018

DOI: https://doi.org/10.2478/sgem-2018-0017

Parole chiaveCPTU, cluster analysis, functional data, rigidity model

© 2018 Zb. Młynarek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
CPTU, cluster analysis, functional data, rigidity model