Cone penetration index for soil behaviour type prediction

Abstract Several approaches have been proposed to classify soil types using both cone and piezocone penetration tests. The chart relating the normalized cone resistance (Q tn ) and the friction ratio (F r ) has proven to be the most reliable method. However, its practical use requires function fitti...

Full description

Bibliographic Details
Main Author: Denilson José Ribeiro Sodré
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-15994-x
_version_ 1828259900389588992
author Denilson José Ribeiro Sodré
author_facet Denilson José Ribeiro Sodré
author_sort Denilson José Ribeiro Sodré
collection DOAJ
description Abstract Several approaches have been proposed to classify soil types using both cone and piezocone penetration tests. The chart relating the normalized cone resistance (Q tn ) and the friction ratio (F r ) has proven to be the most reliable method. However, its practical use requires function fitting, where the chart is described by means of a soil behaviour type index. The currently available indexes for this chart, based on concentric circles and hyperbolas, lead to significant errors. Thus, to properly represent the Q tn –F r chart, this study proposes new soil behaviour type indexes based on an analytical approach from a concentric logarithmic spiral approximation and a numerical approach from an exponential function approximation. The new indexes provide an improvement in the reproduction of the soil type zones while preserving the robustness of the original method. A discussion on the cone penetration test-based soil type classification is presented, along with a case example comparing the soil behaviour indexes in soil profiling.
first_indexed 2024-04-13T03:15:47Z
format Article
id doaj.art-de3ae09ea4c34d169982f6fee7cadcd3
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-04-13T03:15:47Z
publishDate 2022-07-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-de3ae09ea4c34d169982f6fee7cadcd32022-12-22T03:04:55ZengNature PortfolioScientific Reports2045-23222022-07-0112111510.1038/s41598-022-15994-xCone penetration index for soil behaviour type predictionDenilson José Ribeiro Sodré0Faculty of Civil Engineering, Federal University of Pará, UFPAAbstract Several approaches have been proposed to classify soil types using both cone and piezocone penetration tests. The chart relating the normalized cone resistance (Q tn ) and the friction ratio (F r ) has proven to be the most reliable method. However, its practical use requires function fitting, where the chart is described by means of a soil behaviour type index. The currently available indexes for this chart, based on concentric circles and hyperbolas, lead to significant errors. Thus, to properly represent the Q tn –F r chart, this study proposes new soil behaviour type indexes based on an analytical approach from a concentric logarithmic spiral approximation and a numerical approach from an exponential function approximation. The new indexes provide an improvement in the reproduction of the soil type zones while preserving the robustness of the original method. A discussion on the cone penetration test-based soil type classification is presented, along with a case example comparing the soil behaviour indexes in soil profiling.https://doi.org/10.1038/s41598-022-15994-x
spellingShingle Denilson José Ribeiro Sodré
Cone penetration index for soil behaviour type prediction
Scientific Reports
title Cone penetration index for soil behaviour type prediction
title_full Cone penetration index for soil behaviour type prediction
title_fullStr Cone penetration index for soil behaviour type prediction
title_full_unstemmed Cone penetration index for soil behaviour type prediction
title_short Cone penetration index for soil behaviour type prediction
title_sort cone penetration index for soil behaviour type prediction
url https://doi.org/10.1038/s41598-022-15994-x
work_keys_str_mv AT denilsonjoseribeirosodre conepenetrationindexforsoilbehaviourtypeprediction