On the reliability assessment of a controlled dyke failure

Gast, T. de; Hicks, Michael; Eijnden, A.P. van den

doi:10.1680/jgeot.19.sip.003

Cited by 7 publications

(3 citation statements)

References 35 publications

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“…7; de Gast, 2020) and laboratory tests results (Ponzoni, 2017;Muraro, 2019). The case study and some of the tests performed on this site are presented and discussed in Jommi et al ( 2021) and de Gast et al (2021). In particular, the organic clay layer in the polder (Fig.…”

Section: Practical Implementationmentioning

confidence: 94%

“…The isotropic consolidation line (ICL) and the critical state line (CSL) are defined by straight lines in the bilogarithmic compression plane (ln(1 + 𝑒) − ln(𝜋′), where 𝑒 is the void ratio and 𝜋′ is the Kirchoff mean effective stress) characterised by a slope 𝜆 * (Hashiguchi & Ueno, 1977;Butterfield, 1979). In the same plane, the slope of the reloading line is 𝜅 * .…”

Section: Constitutive Lawmentioning

confidence: 99%

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G-PFEM-aided Derivation of Undrained Shear Strength of Organic Clays from CPT Data

Halleux,

Boschi,

Flessati

et al. 2024

7th International Conference on Geotechnical and Geophysical Site Characterization

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Accurate evaluation of undrained shear strength of soils is crucial in geotechnical design and assessment. In the practice, undrained shear strength is obtained most frequently from CPT data, dividing the net cone tip resistance by a cone factor, 𝑁 !" . For organic soils, values between 8.6 and 15.3 are reported, depending on the stress history. The cone factor can be conditioned to the results of laboratory tests, although uncertainties remain on the variety of stress paths followed by the soil elements around the tip of the cone, compared to the ones tested in the laboratory. Non-uniqueness in the definition of the cone factor may lead to either unsafe or over-conservative choices, partly undermining both the reliability and the sustainability of the design. This contribution analyses numerically the inversion technique used to determine the undrained shear strength of organic clays, exploiting data from an extensive in situ and laboratory investigation. The adopted constitutive model was calibrated on the results of laboratory tests. Cone penetration tests were simulated performing coupled hydro-mechanical numerical analyses via G-PFEM, developed in the last decade at CIMNE-UPC. The role played by initial stress state and previous stress history upon stress distribution at failure, cone factor and sleeve friction is discussed. The numerical results suggest how the sleeve friction could be used to condition the cone factor depending on the over-consolidation ratio and demonstrate how combining the different available CPT readings with the aid of numerical results may reduce the uncertainty in the estimation of undrained shear strength.

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Section: Practical Implementationmentioning

confidence: 94%

Section: Constitutive Lawmentioning

confidence: 99%

G-PFEM-aided Derivation of Undrained Shear Strength of Organic Clays from CPT Data

Halleux,

Boschi,

Flessati

et al. 2024

7th International Conference on Geotechnical and Geophysical Site Characterization

View full text Add to dashboard Cite

show abstract

“…Therefore, the step towards validation of the method with field data has not been made. However, numerical models have been substantially validated (e.g., [43]); therefore, such a model is used here to trial our proof-of-concept model. This research aims to investigate if datadriven methods can be applied to assess a dike condition using EO data, which is not currently used in monitoring vegetation covered dikes.…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Surrogate Approach for the Temporal Stability Forecasting of Vegetation Covered Dikes

Jamalinia

Tehrani

Steele‐Dunne

2021

Water

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Climatic conditions and vegetation cover influence water flux in a dike, and potentially the dike stability. A comprehensive numerical simulation is computationally too expensive to be used for the near real-time analysis of a dike network. Therefore, this study investigates a random forest (RF) regressor to build a data-driven surrogate for a numerical model to forecast the temporal macro-stability of dikes. To that end, daily inputs and outputs of a ten-year coupled numerical simulation of an idealised dike (2009–2019) are used to create a synthetic data set, comprising features that can be observed from a dike surface, with the calculated factor of safety (FoS) as the target variable. The data set before 2018 is split into training and testing sets to build and train the RF. The predicted FoS is strongly correlated with the numerical FoS for data that belong to the test set (before 2018). However, the trained model shows lower performance for data in the evaluation set (after 2018) if further surface cracking occurs. This proof-of-concept shows that a data-driven surrogate can be used to determine dike stability for conditions similar to the training data, which could be used to identify vulnerable locations in a dike network for further examination.

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Reliability analysis of high core rockfill dam against seepage failure considering spatial variability of hydraulic parameters

Li,

Liu,

Wen

et al. 2023

Acta Geotech.

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On the reliability assessment of a controlled dyke failure

Cited by 7 publications

References 35 publications

G-PFEM-aided Derivation of Undrained Shear Strength of Organic Clays from CPT Data

G-PFEM-aided Derivation of Undrained Shear Strength of Organic Clays from CPT Data

A Data-Driven Surrogate Approach for the Temporal Stability Forecasting of Vegetation Covered Dikes

Reliability analysis of high core rockfill dam against seepage failure considering spatial variability of hydraulic parameters

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