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Record W1909076524 · doi:10.1139/cgj-2013-0198

Viscous behaviour of clays in one-dimensional compression

2014· article· en· W1909076524 on OpenAlexafffundvenue
R.C.K. Wong, Sivarajan Varatharajan

Bibliographic record

VenueCanadian Geotechnical Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCreepOedometer testConsolidation (business)Geotechnical engineeringMaterials scienceCompression (physics)Stress pathDeformation (meteorology)Composite materialGeologyShear (geology)

Abstract

fetched live from OpenAlex

Oedometer tests were conducted on dry and saturated kaolinite clay samples to investigate the effects of stress level, stress history, pore fluid type, and drainage path on time-dependent deformation under one-dimensional (1D) constant stress. Different deformation modes involved in the creep compression were identified and quantified: creep deformation of individual particles and creep shear displacement at particle contacts. It was found that the creep compression is a coupled process involving the above creep deformations and induced viscous flow resulting in pore compression. The rate of 1D creep compression is controlled by the drainage path along which the viscous flow occurs. It was also observed that mechanically induced consolidation has an accelerating effect on the creep compression of the test samples existing within the limit time zone. This observation confirms that 1D creep compression is a continuation of 1D consolidation in which the largest existing interaggregate pores collapse under a given effective stress. No creep compression was observed when the test samples were mechanically overconsolidated to a state beyond the limit time zone because the interaggregates were compressed to a stable structure. Reduced creep compression was detected in chemically induced consolidated samples though their states were beyond the limit time line.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.473

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 integrity0.0000.001
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 head0.011
GPT teacher head0.204
Teacher spread0.193 · 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

Citations24
Published2014
Admission routes3
Has abstractyes

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