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Record W1998424125 · doi:10.1080/19648189.2013.819301

Granular media failure along triaxial proportional strain paths

2013· article· en· W1998424125 on OpenAlexaff
François Nicot, Ali Daouadji, Nejib Hadda, Mohamad Jrad, Félix Darve

Bibliographic record

VenueEuropean Journal of Environmental and Civil engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsLiquefactionGeotechnical engineeringVoid ratioStress pathTriaxial shear testSoil liquefactionStress (linguistics)Granular materialVoid (composites)Discrete element methodGeologyStructural engineeringMechanicsMaterials sciencePlasticityEngineeringPhysicsComposite materialShear (geology)

Abstract

fetched live from OpenAlex

This paper revisits a famous phenomenon sometimes observed in granular soils: liquefaction. Liquefaction occurs when all stress components vanish. According to the loading conditions, and the initial void ratio of the soil specimen, it can be shown that a convenient stress quantity passes through a peak, and then decreases. It is usually thought that the deviatoric stress peak also corresponds to a failure state, since a sudden collapse of the specimen is expected from this point according to the loading control adopted. After a brief review of the theoretical background describing the occurrence of such phenomena (liquefaction and failure), the results of laboratory tests run along a triaxial proportional strain loading path are presented. Then, the main conclusions drawn are discussed and confirmed from numerical tests using a discrete element method. In both approaches, it is shown that the choice of the stress response variable is fundamental, in order to properly detect such a failure.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.755

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 head0.003
GPT teacher head0.136
Teacher spread0.133 · 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 designObservational
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

Citations30
Published2013
Admission routes1
Has abstractyes

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