Cargando…

Laboratory Testing of Kinetic Sand as a Reference Material for Physical Modelling of Cone Penetration Test with the Possibility of Artificial Neural Network Application

Cone Penetration Testing (CPT) is a quick survey in situ method through which soil parameters are not determined directly, but have to be estimated using derived relations between required soil parameter and soil resistance at the testing probe. Boundary conditions affect the reliability of the esti...

Descripción completa

Detalles Bibliográficos
Autores principales: Gago, Filip, Vlcek, Jozef, Valaskova, Veronika, Florkova, Zuzana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104390/
https://www.ncbi.nlm.nih.gov/pubmed/35591619
http://dx.doi.org/10.3390/ma15093285
_version_ 1784707782996393984
author Gago, Filip
Vlcek, Jozef
Valaskova, Veronika
Florkova, Zuzana
author_facet Gago, Filip
Vlcek, Jozef
Valaskova, Veronika
Florkova, Zuzana
author_sort Gago, Filip
collection PubMed
description Cone Penetration Testing (CPT) is a quick survey in situ method through which soil parameters are not determined directly, but have to be estimated using derived relations between required soil parameter and soil resistance at the testing probe. Boundary conditions affect the reliability of the estimated soil parameters, therefore controlled laboratory conditions were applied to the intended CPT procedure analysis. Density, pycnometry, oedometer and direct shear tests of kinetic sand were performed to prove its usability as a reference testing material for further CPT laboratory analysis. The results of testing the kinetic sand are presented in this paper. Executed tests proved the kinetic sand as a reliable material in terms of the homogeneity and consistency of its physical and mechanical parameters. The material is utilizable as a substitution of cohesive sandy soils in physical modeling without the negative impact of the consistency-dependent behavior of fine-grained soils. However, some differences in parameters with respect to the natural soils should be taken into account. Neural network theory and numerical approach will be applied to the intended CPT laboratory analysis under controlled boundary conditions using kinetic sand to evaluate its potential for the determination of soil parameters.
format Online
Article
Text
id pubmed-9104390
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-91043902022-05-14 Laboratory Testing of Kinetic Sand as a Reference Material for Physical Modelling of Cone Penetration Test with the Possibility of Artificial Neural Network Application Gago, Filip Vlcek, Jozef Valaskova, Veronika Florkova, Zuzana Materials (Basel) Article Cone Penetration Testing (CPT) is a quick survey in situ method through which soil parameters are not determined directly, but have to be estimated using derived relations between required soil parameter and soil resistance at the testing probe. Boundary conditions affect the reliability of the estimated soil parameters, therefore controlled laboratory conditions were applied to the intended CPT procedure analysis. Density, pycnometry, oedometer and direct shear tests of kinetic sand were performed to prove its usability as a reference testing material for further CPT laboratory analysis. The results of testing the kinetic sand are presented in this paper. Executed tests proved the kinetic sand as a reliable material in terms of the homogeneity and consistency of its physical and mechanical parameters. The material is utilizable as a substitution of cohesive sandy soils in physical modeling without the negative impact of the consistency-dependent behavior of fine-grained soils. However, some differences in parameters with respect to the natural soils should be taken into account. Neural network theory and numerical approach will be applied to the intended CPT laboratory analysis under controlled boundary conditions using kinetic sand to evaluate its potential for the determination of soil parameters. MDPI 2022-05-04 /pmc/articles/PMC9104390/ /pubmed/35591619 http://dx.doi.org/10.3390/ma15093285 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gago, Filip
Vlcek, Jozef
Valaskova, Veronika
Florkova, Zuzana
Laboratory Testing of Kinetic Sand as a Reference Material for Physical Modelling of Cone Penetration Test with the Possibility of Artificial Neural Network Application
title Laboratory Testing of Kinetic Sand as a Reference Material for Physical Modelling of Cone Penetration Test with the Possibility of Artificial Neural Network Application
title_full Laboratory Testing of Kinetic Sand as a Reference Material for Physical Modelling of Cone Penetration Test with the Possibility of Artificial Neural Network Application
title_fullStr Laboratory Testing of Kinetic Sand as a Reference Material for Physical Modelling of Cone Penetration Test with the Possibility of Artificial Neural Network Application
title_full_unstemmed Laboratory Testing of Kinetic Sand as a Reference Material for Physical Modelling of Cone Penetration Test with the Possibility of Artificial Neural Network Application
title_short Laboratory Testing of Kinetic Sand as a Reference Material for Physical Modelling of Cone Penetration Test with the Possibility of Artificial Neural Network Application
title_sort laboratory testing of kinetic sand as a reference material for physical modelling of cone penetration test with the possibility of artificial neural network application
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104390/
https://www.ncbi.nlm.nih.gov/pubmed/35591619
http://dx.doi.org/10.3390/ma15093285
work_keys_str_mv AT gagofilip laboratorytestingofkineticsandasareferencematerialforphysicalmodellingofconepenetrationtestwiththepossibilityofartificialneuralnetworkapplication
AT vlcekjozef laboratorytestingofkineticsandasareferencematerialforphysicalmodellingofconepenetrationtestwiththepossibilityofartificialneuralnetworkapplication
AT valaskovaveronika laboratorytestingofkineticsandasareferencematerialforphysicalmodellingofconepenetrationtestwiththepossibilityofartificialneuralnetworkapplication
AT florkovazuzana laboratorytestingofkineticsandasareferencematerialforphysicalmodellingofconepenetrationtestwiththepossibilityofartificialneuralnetworkapplication