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Record W2555037209

Effective stress in unsaturated granular materials: micro-mechanical insights

2014· article· en· W2555037209 on OpenAlexaff
J Duriez, Richard Wan

Bibliographic record

VenueUPCommons institutional repository (Universitat Politècnica de Catalunya) · 2014
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCapillary actionCapillary pressureCauchy stress tensorIsotropyStress (linguistics)Surface tensionMechanicsMaterials scienceGranular materialPhase (matter)Tensor (intrinsic definition)MoistureComposite materialThermodynamicsChemistryClassical mechanicsGeometryMathematicsPhysicsOptics
DOInot available

Abstract

fetched live from OpenAlex

Stress transport in an unsaturated granular material is analytically derived. As such, an effective stress tensor related to the mechanical state governed by the interganular forces within the skeleton is identified together with a capillary stress tensor that accounts for the interactions due to the liquid and gaseous phases. Using a Discrete Element Method for modelling an unsaturated granular material, this capillary stress tensor is computed along different loading paths. Knowing the applied total stress, the effective stress tensor is then readily deduced and it is shown that it describes adequately the strength of the unsaturated granular material along various loading paths for any degree of saturation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score1.000

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 head0.004
GPT teacher head0.180
Teacher spread0.177 · 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.

Study designBench or experimental
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

Citations3
Published2014
Admission routes1
Has abstractyes

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