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Record W4297348393 · doi:10.56952/arma-2022-0667

Effect of Saturation Condition on the Mechanical Performance of Mine Backfill Material

2022· article· en· W4297348393 on OpenAlexaff
Yue Zhao, Abbas Taheri, Lijie Guo, Murat Karakus

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsQueen's University
Fundersnot available
KeywordsTailingsGeotechnical engineeringCohesion (chemistry)SuctionSaturation (graph theory)DrainageMining engineeringGeologyEnvironmental scienceEngineeringMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

ABSTRACT: Backfilling has increasingly been used to fill the mined cavities in underground mine operations, to reuse tailings in underground mines. Influence factors of mine backfills’ mechanical performance have been widely studied over the past few decades to minimize operating costs and superior mechanical support for underground exploration. However, additional work is required to consider more realistic conditions of in-situ backfill stope, such as the drainage of initially saturated backfill and the interference of surrounding underground water, which may lead to the variation of backfill stope saturation condition. A series of triaxial compression tests under various confining pressures for compacted backfill samples were carried out at designed matric suction values (0kPa, 50 kPa, 200 kPa, 400 kPa, and 600 kPa) to predict the influence of post-desiccation and post-saturation on in-situ backfill stope. Overall, with the increase of matric suction, the unsaturated specimens were found to have a higher peak deviator stress than saturated specimens for any given confining pressure and thus led to improved mechanical performance. The cohesion and friction angles show a linear relationship concerning the matric suction. 1. INTRODUCTION Mine tailings, deposited after minerals have been extracted, are the largest source of waste in mine processing. Approximately 14 billion tons of tailings were produced globally by the mining industry in 2010 (Behera et al. 2021; Jones and Boger 2012; Naganathan et al. 2012; Zhao et al. 2018). Tailings have been traditionally deposited into tailings storage facilities associated with severe environmental, geotechnical, and economic concerns (Dold 2014; Franks et al. 2011; Liu et al. 2016). Backfill technology has increasingly been used to fill the mined cavities in underground mine operations to reuse tailings in underground mines (Fall et al. 2010; Sivakugan et al. 2006; Zhang et al. 2012). Backfill material generally consists of tailings, none or a low proportion of cementitious binders to form a high-density slurry with none setting character to be gravity transferred or pumped to underground mine voids. Backfill recycles processed tailings into underground mined voids, which reduces the volume that needs to be surface-disposed. Using backfill thus mitigates the potential environmental impacts associated with tailings disposal and assists waste management (Fall et al. 2010; Kesimal et al. 2004; Tang et al. 2021; Zhao et al. 2021). These refilled backfills can then perform as both the support system and working platform for further ore extraction (Grabinsky et al. 2021; Ouattara et al. 2017; Sivakugan et al. 2015). Over the past few decades, backfill technology has been increasingly applied to revive mined cavities in underground mine operations, owing to its low operating costs as well as its superior mechanical performance compared with other backfilling methods (Fall and Pokharel 2010; Xu et al. 2018; Zhao et al. 2019).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

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)0.0010.000

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 head0.006
GPT teacher head0.181
Teacher spread0.175 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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