Cone penetration test dataset Premstaller Geotechnik

Simon Oberhollenzer; Michael Premstaller; Roman Marte; Franz Tschuchnigg; Georg H Erharter; Thomas Marcher

doi:10.1016/j.dib.2020.106618

Cone penetration test dataset Premstaller Geotechnik

Data Brief. 2020 Dec 7:34:106618. doi: 10.1016/j.dib.2020.106618. eCollection 2021 Feb.

Authors

Simon Oberhollenzer¹, Michael Premstaller², Roman Marte¹, Franz Tschuchnigg¹, Georg H Erharter³, Thomas Marcher³

Affiliations

¹ Institute of Soil Mechanics, Foundation Engineering and Computational Geotechnics, Graz University of Technology, Austria.
² Premstaller Geotechnik ZT GmbH, Austria.
³ Institute of Rock Mechanics and Tunnelling, Graz University of Technology, Austria.

Abstract

The dataset contains 1339 cone penetration tests (CPT, CPTu, SCPT, SCPTu) executed within Austria and Germany by the company Premstaller Geotechnik ZT GmbH. As a first processing step, core drillings, located within a maximum distance of approximately 50 m to the insitu tests, were assigned to these cone penetration tests, which allow an interpretation of the insitu measurements based on its grain size distribution. In a second step, the software Geologismiki was used to calculate various normalized measures, which can e.g. be used as input parameters for soil behaviour type charts. The present data can be utilized by researches for example to develop new approaches related to soil classification based on cone penetration test. Furthermore, it provides a framework for combining insitu measurements (q_c, f_s, R_f, u₂, V_s), normalized measures (i.e. Q_t, B_q, U₂) and soil classifications.

Keywords: Big data; Cone penetration test; Geotechnical engineering; Insitu test; Machine learning; Soil behaviour type chart; Soil classification.