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Record W2332757466 · doi:10.1680/jphmg.15.00006

Physical modelling of oil sands tailings consolidation

2015· article· en· W2332757466 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Physical Modelling in Geotechnics · 2015
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsUniversity of AlbertaCoanda Research and Development Corporation (Canada)
Fundersnot available
KeywordsCentrifugeConsolidation (business)Geotechnical engineeringTailingsOil sandsSlurryGeologyPore water pressureEngineeringMaterials scienceAsphaltComposite material

Abstract

fetched live from OpenAlex

The self-weight consolidation of oil sands tailings and kaolinite slurry is modelled using a new geotechnical beam centrifuge located at the University of Alberta (Geomechanical Reservoir Engineering Facility (GeoREF) centrifuge). The centrifuge is used to create a prototype-effective stress regime in the model, and centrifuge tests are conducted at different initial compositions at acceleration levels of 40 to 100g. The objectives of the centrifuge tests are to study the long-term consolidation behaviour, derive consolidation parameters, verify modelling procedures and to evaluate time-domain reflectometry application for solids content profile monitoring during centrifuge testing. The interface settlement, pore pressure and solids content profiles of the consolidating materials are monitored in-flight. Large strain consolidation parameters are derived from centrifuge tests and compared with parameters determined from a large strain consolidometer. The paper describes the modelling aspect as well as the instrumentation and monitoring of centrifuge tests. The centrifuge results are presented, discussed and compared using results from large strain numerical models.

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.

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: none
Teacher disagreement score0.485
Threshold uncertainty score0.634

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 head0.046
GPT teacher head0.296
Teacher spread0.249 · 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