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Record W4408953153 · doi:10.36487/acg_repo/2555_24

Measurement of the shear strength of centrifuged oil sands tailings using different soil mechanics procedures

2025· article· en· W4408953153 on OpenAlexaboutno aff
Louis Kabwe, Ward Wilson, David Barsi

Bibliographic record

VenuePaste/˜Pœaste · 2025
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsTailingsOil sandsGeotechnical engineeringSoil mechanicsShear strength (soil)Petroleum engineeringShear (geology)GeologyEnvironmental scienceMechanicsMaterials scienceSoil waterSoil scienceComposite materialMetallurgyPhysics

Abstract

fetched live from OpenAlex

Shear strength is an important engineering property in the design and closure of tailings dams. The stability of a tailings dam depends upon the strength of the tailings. Alberta oil sands tailings dams have a footprint much larger than typical metal mines, averaging 4 km2, with the largest near 15 km2. Approximately 1.3 billion cubic metres of mature fine tailings (MFT) have been stored in these tailings dams. Significant dewatering and treatment of the MFT are required to achieve solids contents and strengths sufficient to support reclamation. Centrifugation is currently one of the potential technologies for converting MFT into a material with sufficient strength to support trafficability. In this research study, a large strain consolidation test (LSC) with shear strength, consolidated undrained triaxial test (UD-TR), consolidated drained direct shear (D-DS) test and a single-step Tempe cell test (SS-Tempe cell) were performed on an oil sands centrifuged tailings cake (Ccake) sample to measure the two shear strength parameters: apparent cohesion (c) and effective friction angle ('). The UD-TR and D-DS techniques provided comparable ' values of 20.7° and 22.9°, respectively, and this is because remoulding soil destroys any previous layering or structure that might have been present, and the resulting sample is more or less homogeneous. The LSC provided a lower value of ' of 17.8° due to the use of the vane shear device in the LSC test that destroyed the fabric and decreased the value of '. The SSTempe cell produced a non-linear shear strength envelope due to suction that increased ' (26°) and shear strength of the soil sample. The remoulded and consolidated C-cake sample tested in this study has a (c) of zero. The values of (c) and ' obtained indicated that the C-cake sample tested was very soft clay. Although these four different devices can provide similar shear strength parameter results, they have marked differences in complexity and cost. The DS and SS-Tempe cell devices are simple and cheap. The TR and LSC devices are complex, expensive and time-consuming. However, the UD-TR has the advantage over the other test methods in that specimen drainage can be controlled, pore pressure can be measured and the results are accurate. The results of the two strength parameters are crucial in any stability analyses of slopes against failure and landslides.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.719

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 head0.008
GPT teacher head0.195
Teacher spread0.187 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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