Defining the soil stratigraphy from seismic piezocone data: A clustering approach

• Type: Article in International Scientific Journal
• Date: 2021-03-24

Authors

António Viana da Fonseca (Author) FEUP; Fausto Molina Gomez (Author) Other; Cristiana Ferreira (Author) FEUP; Fernanda Campos de Sousa (Author) FEUP; Lenin Alexander Bulla-Cruz (Author) Other

Journal

Title: Engineering Geology

Vol. 287

Pages: 1-13

ISSN: 0013-7952

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 0 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Civil engineering > Geotechnics

FOS: Engineering and technology > Civil engineering

Associated Projects

LIQ2PROEARTH - PROTOCOLOS PARA AVALIAÇÃO DE LIQUEFAÇÃO PARA PROTEÇÃO DE INFRA-ESTRUTURAS CRÍTICAS CONTRA DANOS INDUZIDOS POR SISMOS

Other information

Authenticus ID: P-00T-WCZ

DOI: 10.1016/j.enggeo.2021.106111

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13