MétaCan
Menu
Back to cohort
Record W4406616588 · doi:10.1680/jdare.24.00102

Modelling volumetric and strength behaviours of sheared contact zone between dam soils

2025· article· en· W4406616588 on OpenAlexaff
Benoît Pardoen, Jean‐Marie Konrad

Bibliographic record

VenueDams and Reservoirs · 2025
Typearticle
Languageen
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsGeotechnical engineeringSoil waterGeologyContact zoneMining engineeringSoil scienceGeochemistry

Abstract

fetched live from OpenAlex

Interface behaviour between different granular material layers in geotechnical works, such as embankment dams, can affect their overall behaviour. Soil–structure interfaces have been widely studied but few analyses of soil–soil granular interfaces have been conducted. Therefore, there is a need to properly predict their behaviour. The mechanical behaviour of an interface zone between embankment dam materials, a core and a filter soils, is numerically studied during a laminar simple shear test. The main objectives are to properly reproduce the shear strength of interface layer and its deformation, including the volumetric behaviour. The interface behaviour is analysed based on hypotheses related to the interface zone, to the contact reproduction between the soil layers, and to the constitutive models used for the soils and their contact. The modelling of the shear test is performed to highlight the important aspects to consider in numerical simulation of granular interface layer. Using a model for granular soils based on the critical state concept (NorSand model) allows for prediction of the soil–soil interface shear strength and especially its volumetric deformation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.238
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueDams and ReservoirsSame topicSoil Mechanics and Vehicle DynamicsFrench-language works237,207