Uncertainty assessment of effective friction angle of non-cohesive materials combining data from cone penetration and shear tests

The effective shear strength is a critical parameter for evaluating ultimate and serviceability limit states of geotechnical structures. To conduct a fully probabilistic assessment or to determine characteristic values according to the second generation of Eurocodes, it is essential to quantify the uncertainty of ground properties due to inherent variability, measurement error, transformation, and statistical uncertainty. However, unlike other ground properties, shear strength parameters are not directly measured, even in laboratory settings. Instead, they are derived from the relationship between shear and normal stresses, making uncertainty analysis nontrivial. This study applies two regression approaches and the extended multivariate approach (EMA) to estimate the effective friction angle for non-cohesive soils. Firstly, an ordinary least squares (OLS) and a Bayesian linear regression (BLR) approach are utilized to quantify the uncertainties inherent in data from direct shear and triaxial tests from an offshore wind project. Secondly, the EMA is utilized to integrate cone penetration tests (CPT) and shear test data via Bayesian inference. The results are discussed based on characteristic values according to Eurocode 7 (EN 1997-1:2024) highlighting the importance of accurately and precisely estimating mean and uncertainty.

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Publication Details

Journal
Canadian Geotechnical Journal
Published
2025-01-01
DOI
https://doi.org/10.1139/cgj-2025-0031
Primary Topic
Adhesion, Friction, and Surface Interactions
Type
article
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article

Uncertainty assessment of effective friction angle of non-cohesive materials combining data from cone penetration and shear tests

Johan Spross, Julia Sorgatz, A. Janzen
Canadian Geotechnical Journal
Adhesion, Friction, and Surface Interactions
article

Uncertainty assessment of effective friction angle of non-cohesive materials combining data from cone penetration and shear tests

Johan Spross, Julia Sorgatz, A. Janzen
article en

Abstract

The effective shear strength is a critical parameter for evaluating ultimate and serviceability limit states of geotechnical structures. To conduct a fully probabilistic assessment or to determine characteristic values according to the second generation of Eurocodes, it is essential to quantify the uncertainty of ground properties due to inherent variability, measurement error, transformation, and statistical uncertainty. However, unlike other ground properties, shear strength parameters are not directly measured, even in laboratory settings. Instead, they are derived from the relationship between shear and normal stresses, making uncertainty analysis nontrivial. This study applies two regression approaches and the extended multivariate approach (EMA) to estimate the effective friction angle for non-cohesive soils. Firstly, an ordinary least squares (OLS) and a Bayesian linear regression (BLR) approach are utilized to quantify the uncertainties inherent in data from direct shear and triaxial tests from an offshore wind project. Secondly, the EMA is utilized to integrate cone penetration tests (CPT) and shear test data via Bayesian inference. The results are discussed based on characteristic values according to Eurocode 7 (EN 1997-1:2024) highlighting the importance of accurately and precisely estimating mean and uncertainty.

Canadian Geotechnical JournalVol. 62
Bundesanstalt für Wasserbau (DE), Institute of Geotechnics of the Slovak Academy of Sciences (SK), TU Bergakademie Freiberg (DE), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 85%
Adhesion, Friction, and Surface Interactions
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