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Cone penetration test dataset Premstaller Geotechnik
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744689/ https://www.ncbi.nlm.nih.gov/pubmed/33354601 http://dx.doi.org/10.1016/j.dib.2020.106618 |
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author | Oberhollenzer, Simon Premstaller, Michael Marte, Roman Tschuchnigg, Franz Erharter, Georg H. Marcher, Thomas |
author_facet | Oberhollenzer, Simon Premstaller, Michael Marte, Roman Tschuchnigg, Franz Erharter, Georg H. Marcher, Thomas |
author_sort | Oberhollenzer, Simon |
collection | PubMed |
description | 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), u(2), V(s)), normalized measures (i.e. Q(t), B(q), U(2)) and soil classifications. |
format | Online Article Text |
id | pubmed-7744689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77446892020-12-21 Cone penetration test dataset Premstaller Geotechnik Oberhollenzer, Simon Premstaller, Michael Marte, Roman Tschuchnigg, Franz Erharter, Georg H. Marcher, Thomas Data Brief Data Article 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), u(2), V(s)), normalized measures (i.e. Q(t), B(q), U(2)) and soil classifications. Elsevier 2020-12-07 /pmc/articles/PMC7744689/ /pubmed/33354601 http://dx.doi.org/10.1016/j.dib.2020.106618 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Oberhollenzer, Simon Premstaller, Michael Marte, Roman Tschuchnigg, Franz Erharter, Georg H. Marcher, Thomas Cone penetration test dataset Premstaller Geotechnik |
title | Cone penetration test dataset Premstaller Geotechnik |
title_full | Cone penetration test dataset Premstaller Geotechnik |
title_fullStr | Cone penetration test dataset Premstaller Geotechnik |
title_full_unstemmed | Cone penetration test dataset Premstaller Geotechnik |
title_short | Cone penetration test dataset Premstaller Geotechnik |
title_sort | cone penetration test dataset premstaller geotechnik |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744689/ https://www.ncbi.nlm.nih.gov/pubmed/33354601 http://dx.doi.org/10.1016/j.dib.2020.106618 |
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