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Record W4292607207 · doi:10.36487/acg_repo/2205_57

Management of production drift convergence and redevelopment

2022· article· en· W4292607207 on OpenAlexaboutno aff
Corey Kamp

Bibliographic record

VenueCaving 2022: Fifth International Conference on Block and Sublevel Caving · 2022
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsRock mass classificationGeologyMining engineeringConvergence (economics)FootprintRockfallGeotechnical engineering

Abstract

fetched live from OpenAlex

New Afton Mine is a block caving operation, located approximately 10 kilometres outside of Kamloops and 350 kilometres northeast of Vancouver in British Columbia. The New Afton orebody has a unique combination of geometric and geotechnical conditions, including a long and narrow footprint which is highly faulted and hence comprises large areas of poor ground, all of which is subject to a relatively high major horizontal principal stress. The initial deformations (convergence) experienced on the production level (extraction level) of the Lift 1 West Cave proved relatively manageable; however, as mining moved eastward towards the Lift 1 East Cave, which comprised significantly poorer rock mass quality, deformation rates increased causing substantial damage and subsequent repair of the footprint. Block caving in a poor rock mass subject to high cave induced stress changes typically experience large plastic deformations which manifest as drive convergence and in some cases complete drive closure. Such conditions require comprehensive extraction drive and drawpoint redevelopment (rehabilitation), which consequently increases operating costs and constraints production. A conceptual model of convergence and comprehensive ground control rehabilitation strategy for existing drawpoints and extraction drives has been implemented at the New Afton Mine with the aim of managing rock mass damage and maintaining drawpoint integrity until mining is exhausted. A review of ground support and rehabilitation methods along with the conceptual convergence model are discussed. An example case of a drawpoint and associated extraction drive area that was successfully recovered following high convergence is presented.

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 score0.690
Threshold uncertainty score0.653

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 head0.029
GPT teacher head0.236
Teacher spread0.207 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

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