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Record W7028119977

Effect of stope construction parameters on ore dilution in narrow vein mining

2013· dissertation· en· W7028119977 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2013
Typedissertation
Languageen
FieldEngineering
TopicMining Techniques and Economics
Canadian institutionsnot available
FundersMcGill University
KeywordsDilutionUnderground mining (soft rock)StopingScope (computer science)Finite element methodIron ore
DOInot available

Abstract

fetched live from OpenAlex

Ore dilution has an important influence on mining costs and hence on the viability of a mining operation.Costs associated with ore dilution with barren waste or material below the cut-off grade are linked to all mining and milling stages.Several research efforts were made in the past to help better understand the causes of ore dilution, and some of these led to the development of empirical formulae for the estimation of ore dilution in different mining environments.Stope geometry was identified as one of the principal factors influencing ore dilution attributed to stope wall overbreak.This thesis examines the effects of stope geometric parameters on ore dilution -namely the stope width and strike length, as well as stope undercutting and the orebody dip angle.The study uses nonlinear finite element modelling as the analysis tool.Numerical model predictions are compared, whenever possible, with surveyed stope profile obtained from field measurements.The scope of the thesis is a case study of the Lapa Mine of Agnico Eagle Mines Limited, a gold mining operation situated in the Abitibi region of Quebec.The Lapa orebody is a narrow vein, steeply dipping deposit with varying width, and is extracted with longitudinal retreat mining method.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.910
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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.

Study designBench or experimental
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

Citations0
Published2013
Admission routes2
Has abstractyes

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