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.
Citation: Islam Marzouk, Andreas Erdian Wijaya, Helmut F Schweiger, Franz Tschuchnigg. An automated system for determining soil parameters from in situ tests: Application to a sand site[J]. AIMS Geosciences, 2025, 11(2): 489-516. doi: 10.3934/geosci.2025020
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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