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Defining the soil stratigraphy from seismic piezocone data: A clustering approach
Abstract The geotechnical ground investigation involves several testing techniques. Within such techniques, the Piezocone Penetration Test with seismic wave measurements (SCPTu) is one of the most popular. This test is widely used for in situ soil characterisation given its continuous measurements and repeatability. The interpretation of such test results has a strong theoretical background, namely allowing the identification the soil profile based on correlation of mechanical properties. In turn, the application of multivariate statistical methods allows identifying the soil stratigraphy by data association. This paper proposes a multivariate statistical approach, based on cluster analysis, for defining stratigraphic interfaces from SCPTu measurements. Using an extensive database from the Lower Tagus Valley region (near Lisbon, Portugal), this novel approach combines the four SCPTu parameters and recognises the association between the measurements. A comparison between statistical results against the profiles of soil behaviour index validates the efficiency of the approach, indicating a good agreement between data associations with the soil behaviour index profiles. The findings showed that the statistical procedure proposed in this study leads to reliable results for identifying soils with similar soil behaviour type.
Graphical abstract Display Omitted
Highlights Clustering of standardised raw SCPTu data for identifying soil stratigraphy. Approach validation by comparing soil behaviour index profiles. Detailed procedure for application in other geotechnical test sites. Automatic statistical programming developed in RStudio, an open-source environment.
Defining the soil stratigraphy from seismic piezocone data: A clustering approach
Abstract The geotechnical ground investigation involves several testing techniques. Within such techniques, the Piezocone Penetration Test with seismic wave measurements (SCPTu) is one of the most popular. This test is widely used for in situ soil characterisation given its continuous measurements and repeatability. The interpretation of such test results has a strong theoretical background, namely allowing the identification the soil profile based on correlation of mechanical properties. In turn, the application of multivariate statistical methods allows identifying the soil stratigraphy by data association. This paper proposes a multivariate statistical approach, based on cluster analysis, for defining stratigraphic interfaces from SCPTu measurements. Using an extensive database from the Lower Tagus Valley region (near Lisbon, Portugal), this novel approach combines the four SCPTu parameters and recognises the association between the measurements. A comparison between statistical results against the profiles of soil behaviour index validates the efficiency of the approach, indicating a good agreement between data associations with the soil behaviour index profiles. The findings showed that the statistical procedure proposed in this study leads to reliable results for identifying soils with similar soil behaviour type.
Graphical abstract Display Omitted
Highlights Clustering of standardised raw SCPTu data for identifying soil stratigraphy. Approach validation by comparing soil behaviour index profiles. Detailed procedure for application in other geotechnical test sites. Automatic statistical programming developed in RStudio, an open-source environment.
Defining the soil stratigraphy from seismic piezocone data: A clustering approach
Molina-Gómez, Fausto (author) / Viana da Fonseca, António (author) / Ferreira, Cristiana (author) / Sousa, Fernanda (author) / Bulla-Cruz, Lenin Alexander (author)
Engineering Geology ; 287
2021-03-20
Article (Journal)
Electronic Resource
English
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