An automated system for determining soil parameters from in situ tests: Application to a sand site

In situ testing plays a crucial role in geotechnical engineering, both in identifying soil stratification and in determining soil parameters. This paper presents an automated framework for determining constitutive model parameters from in situ test data. The framework was built on a graph-based approach, ensuring both transparency and adaptability. Transparency was achieved by explicitly tracing how each parameter is computed, while adaptability allows users to incorporate their expertise. This study applied the framework to cone penetration test (CPT) measurements at the sand site of the Norwegian GeoTest Sites. Furthermore, it established a link between the parameter determination system and finite element analysis, where parameters for the Clay and Sand model were derived and used to numerically simulate CPT at the site employing the finite element code G-PFEM. The material model parameters were evaluated by comparing the simulated sounding with the measured CPT data. The framework is particularly beneficial in the early stages of projects, offering detailed soil characterization when site data is scarce. Future work focuses on evaluating the accuracy of the derived parameters and expanding the framework to integrate additional in situ tests.

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Publication Details

Journal
AIMS Geosciences
Published
2025-01-01
DOI
https://doi.org/10.3934/geosci.2025020
Citations
2
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
1.91
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article

An automated system for determining soil parameters from in situ tests: Application to a sand site

Islam Marzouk, Franz Tschuchnigg, Helmut Schweiger, Andreas Erdian Wijaya
2 citations
AIMS Geosciences
Soil and Unsaturated Flow
1.91
article

An automated system for determining soil parameters from in situ tests: Application to a sand site

Islam Marzouk, Franz Tschuchnigg, Helmut Schweiger, Andreas Erdian Wijaya
article en
2 citations

Abstract

In situ testing plays a crucial role in geotechnical engineering, both in identifying soil stratification and in determining soil parameters. This paper presents an automated framework for determining constitutive model parameters from in situ test data. The framework was built on a graph-based approach, ensuring both transparency and adaptability. Transparency was achieved by explicitly tracing how each parameter is computed, while adaptability allows users to incorporate their expertise. This study applied the framework to cone penetration test (CPT) measurements at the sand site of the Norwegian GeoTest Sites. Furthermore, it established a link between the parameter determination system and finite element analysis, where parameters for the Clay and Sand model were derived and used to numerically simulate CPT at the site employing the finite element code G-PFEM. The material model parameters were evaluated by comparing the simulated sounding with the measured CPT data. The framework is particularly beneficial in the early stages of projects, offering detailed soil characterization when site data is scarce. Future work focuses on evaluating the accuracy of the derived parameters and expanding the framework to integrate additional in situ tests.

AIMS GeosciencesVol. 11(2)
Graz University of Technology (AT)
Life in Land
Openalex Percentile: Top 15%
Soil and Unsaturated Flow
1.91
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