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Experimental Study of the Behavior of Cemented Paste Backfill under High Isotropic Compression

2020· article· en· W3081976457 on OpenAlex
Mohammadamin Jafari, Mohammad Shahsavari, Murray Grabinsky

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.

Bibliographic record

VenueJournal of Geotechnical and Geoenvironmental Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceIsotropyHardening (computing)CementGeotechnical engineeringComposite materialCompressive strengthCompression (physics)Constitutive equationModulusCuring (chemistry)GeologyStructural engineeringEngineering

Abstract

fetched live from OpenAlex

Deep and high-stress mining relies on backfill to support exposed host rock surfaces, but the backfill response to isotopic compression is virtually unknown. This paper studied the properties and behavior of a cemented paste backfill (CPB) for different cement contents (CCs) and specimen curing times (CTs), for isotropic stresses up to 6.5 MPa. The isotropic compressive behavior was characterized by an initial linear elastic preyield response quantified by the bulk modulus and a linear inelastic postyield response at high stress. The results showed that the postyield compression line loci depend on cement content and curing time of CPB, and fitting functions were determined to predict this evolving behavior based on cement content and specimen cure time. The results could form the basis for developing and calibrating the isotropic compression hardening laws for future constitutive 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score0.360

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 head0.011
GPT teacher head0.180
Teacher spread0.169 · 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