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The impact of pore pressure boundary conditions in stope backfilling models

2014· article· en· W2610697271 on OpenAlexfundno aff
James Doherty

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and Geomechanical Engineering
Canadian institutionsnot available
FundersBarrick Gold Corporation
KeywordsBoundary (topology)Pore water pressureGeologyPetroleum engineeringGeotechnical engineeringEnvironmental scienceMining engineeringMaterials scienceMechanicsPhysics

Abstract

fetched live from OpenAlex

Fully coupled numerical models for simulating mine backfill typically assume zero pore pressure conditions at the top of the fill. This implies full saturation of the fill mass. In this paper, Gibson's solution is examined to identify situations where this use of zero pore pressure boundary conditions is likely to be unrealistic. A model that is able to capture phreatic draw down and fill desaturation is then briefly described. The model also accounts for changes in strength, stiffness and permeability due to cement hydration. An example two−dimensional simulation of stope backfilling is then presented. The analysis is conducted assuming full saturation and zero pore pressure boundary conditions, as well as a more realistic simulation that accounts for desaturation. It is shown that phreatic draw down and fill desaturation have a significant impact on pore pressure within the fill mass and barricade loads.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.241

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 head0.007
GPT teacher head0.216
Teacher spread0.208 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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