MétaCan
Menu
← Back to cohort
Record W2020387557 · doi:10.1139/t01-020

A constitutive model for isotropic freshwater ice

2001· article· en· W2020387557 on OpenAlexfundvenueno aff
Ahmed Derradji-Aouat, E. Evgin

Bibliographic record

VenueCanadian Geotechnical Journal · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsConstitutive equationViscoplasticityIsotropyViscoelasticitySofteningGeotechnical engineeringCreepMaterials scienceStress (linguistics)MechanicsStrain rateStructural engineeringGeologyFinite element methodComposite materialEngineeringPhysics

Abstract

fetched live from OpenAlex

A three-dimensional constitutive model is developed to describe the stress–strain behaviour of isotropic freshwater ice. The model consists of two sets of equations. The first set deals with the behaviour of intact ice (undamaged material), and the second set accounts for the effect of damage (microcracking) on the overall stress–strain behaviour of ice. The intact-ice model (the first set of equations) is developed on the basis of the traditional viscoelasticity and viscoplasticity theories, whereas the damaged-ice model (the second set of equations) is developed using the rate theory for crack kinetics. The results of several uniaxial and triaxial tests are used to evaluate the accuracy of the model predictions. The comparisons between the predicted and measured stress–strain curves indicate that the model predicts reasonably well the strength of ice, the effect of damage, and the postpeak behaviour (including softening) of ice subjected to monotonic loading and unloading–reloading cycles.Key words: isotropic freshwater ice, constitutive model, damaged ice, crack kinetics, cyclic loading, softening.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.214
Teacher spread0.196 · 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 designTheoretical or conceptual
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

Citations11
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Geotechnical Journal→Same topicArctic and Antarctic ice dynamics→French-language works237,207→