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Record W2280533109

Ice Rubble Properties from Plane Strain Tests

2003· article· en· W2280533109 on OpenAlexaboutno aff
Pavel Liferov, Knut V. Høyland

Bibliographic record

VenueProceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsRubbleCohesion (chemistry)Geotechnical engineeringPlasticityDilatantFriction angleGeologyInternal frictionLimit analysisMechanicsMaterials scienceStructural engineeringEngineeringPhysicsComposite materialFinite element method
DOInot available

Abstract

fetched live from OpenAlex

Simple shear tests on ice rubble in the bi-axial compression chamber developed at the Canadian Hydraulic Centre (CHC) have been analyzed. A discussion on derivation of material properties and the testing procedures was given based on the fundamental theory of elastoplasticity. It was shown that derivation of the ultimate material strength properties from the proportional strain tests alone might be difficult as the limit state may not have been reached in the tests discussed. The assumption that ice rubble is a cohesionless material leads to confusion when the elasto-plasticity is applied to derive the friction angle of ice rubble. The tests showed that the cohesion exists, however, its value must be clarified. The mean pressure dependence of the mobilized angle of internal friction was also observed and the possible effect of dilatancy was pointed out. The analysis of a single constant lateral pressure test showed that the angle of internal friction of the ice rubble is at least 44 degrees corresponding to cohesion equals to 3.5 kPa.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.021
GPT teacher head0.205
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the International Conference on Port and Ocean Engineering Under Arctic ConditionsSame topicArctic and Antarctic ice dynamicsFrench-language works237,207