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Multiphysics Model for Consolidation Behavior of Cemented Paste Backfill

2016· article· en· W2509993179 on OpenAlex
Liang Cui, Mamadou Fall

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

VenueInternational Journal of Geomechanics · 2016
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsConsolidation (business)MultiphysicsGeotechnical engineeringRock mass classificationConservation of massEngineeringFinite element methodMechanicsStructural engineeringPhysics

Abstract

fetched live from OpenAlex

In underground mining practices, cemented paste backfill (CPB), a mixture of tailings, cement, and water, is widely adopted to fill extracted stopes. During and after the filling of the underground mine excavations or stopes with CPB, complex multiphysics processes (including thermal, hydraulic, mechanical, and chemical) take place in the CPB mass. These multiphysics processes and their coupling govern the consolidation characteristics and behavior of CPB. As a result, conventional soil mechanics consolidation theories and models are not appropriate for the evaluation and prediction of the consolidation behavior of CPB. Therefore, based on the principles of the continuity of pore space and conservation of mass, energy, and momentum, a three-dimensional coupled multiphysics consolidation model for CPB was developed in this study. The prediction capability of the proposed model was verified by comparing the predicted results with experimental data. Good agreement between the predicted values and experimental data was obtained. Furthermore, some of the important features of the developed model are highlighted by a comparison between the simulated results and Gibson’s solution.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.856
Threshold uncertainty score0.215

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 head0.024
GPT teacher head0.243
Teacher spread0.219 · 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