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Record W4380668177 · doi:10.1520/gtj20220191

Evaluating Cemented Paste Backfill’s Strength Development at Early Age Using the Laboratory Vane Shear Test

2023· article· en· W4380668177 on OpenAlexaff
Wendal Victor Yue, Mohammadamin Jafari, Murray Grabinsky

Bibliographic record

VenueGeotechnical Testing Journal · 2023
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeotechnical engineeringShear (geology)Direct shear testTriaxial shear testCompressive strengthShear strength (soil)Materials scienceGeologyComposite materialSoil water

Abstract

fetched live from OpenAlex

ABSTRACT The Unconfined Compressive Strength (UCS) test is the most widely used method in the underground mining industry to assess strength development during binder hydration. However, testing errors are common for weak materials (UCS less than 100 kPa, i.e., cemented paste backfill at early curing stage), and reliable test methods must be established for designs relying on early age strengths, particularly for continuous pours. Therefore, the standard geotechnical laboratory vane shear test is investigated as an alternative. A newly designed “cast-in-place” mold is used to avoid specimen damage arising from vane insertion. Parametric tests with vane rotation speeds of 30 to 120 degrees per minute show strength insensitivity to these shear rates. Vane shear strengths correlate linearly with UCS over the strength ranges used; however, the trend does not follow the usual assumption for clays in the undrained state, because the material does not shear at a constant volume as clays do. The influence of suppressed dilation is investigated using direct shear tests, but these results do not fully explain the discrepancy, suggesting other mechanisms also have an important influence. Therefore, vane shear tests can provide a useful complement to UCS tests not only at the laboratory scale but in the in situ condition for early strength characterization. It should be noted that the correlation to UCS must be considered empirical, and separate calibrations are required for each backfill material.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.133
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.106
GPT teacher head0.293
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

Citations3
Published2023
Admission routes1
Has abstractyes

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