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Record W2053420727 · doi:10.1680/grim.2007.11.2.77

Treatment of mine tailings using ALFA<sup>®</sup> technology

2007· article· en· W2053420727 on OpenAlexafffundabout
Abdel‐Mohsen O. Mohamed, Mohsen Hossein, Ferri Hassani

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Ground Improvement · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicMine drainage and remediation techniques
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEttringiteTailingsLimeGypsumFly ashMetallurgyCementLeaching (pedology)ChemistryMineralogyNuclear chemistryEnvironmental scienceMaterials sciencePortland cementSoil science

Abstract

fetched live from OpenAlex

To evaluate the success of the ALFA technology to stabilise and solidify the acid-producing tailings by means of ettringite formation, a tailings sample from a mine in the province of Quebec, Canada, was subjected to treatment and subsequent evaluation. The tailings sample was initially subjected to physical and chemical analysis and the optimised condition for the formation and precipitation of ettringite within the sample was established via X-ray diffraction analysis. To establish whether the pozzolanic reactions has occurred in the treated samples and monitor the growth of ettringite in the specimens under investigation, samples were cured for 3, 28, 90, 360, and 660 days and were analysed for their mineralogical constituents. The treated samples with the aluminium, lime and fly ash (ALFA) technology were subjected to different leaching tests. The leachants were simulated groundwater with a pH of 5·5; acid rain with a pH of 4·5, which contained sulphuric acid; a sulphuric acid solution with a pH of 2·5 (Modified TCLP); and acetic acid solution with pH of 2·88. In addition, treated samples were further evaluated for their stability via durability tests (strength, hydraulic conductivity, and cyclic freeze-thaw). Pour évaluer le succès de la technologie ALFA (Aluminium, Lime and Fly ash ou aluminium, chaux et cendres volantes) pour stabiliser et solidifier des stériles produisant de l'acide au moyen de formation d'ettringite, des échantillons de résidus miniers issus de la province de Québec, au Canada, ont été traités puisé tudiés. Des essais chimiques et physiques ont tout d'abord été réalisés sur les échantillons. Une analyse par diffraction de rayons X a permis d'établir les conditions optimales de formation et de précipitation d'ettringite dans le spécimen. Pour déterminer si les réactions pozzoloniques se sont produites dans les échantillons traités et contrôler la formation d'ettringite dans les spécimens àl'étude, les échantillons ont été mûris pendant 3, 28, 90, 360 et 660 jours avant que leurs constituants minéralogiques ne soit analysés. Différents tests de lixiviation TLCP (« toxicity characteristic leaching procedure ») ont été réalisés sur les échantillons traités avec la technologie ALFA. Les lixiviats considérés ont été les suivants: eau souterraine simulée de pH 5,5, pluie acide de pH 4,5 contenant de l'acide sulfurique, solution d'acide sulfurique de pH 2,5 (TLCP modifié) et solution d'acide acétique (TLCP) de pH 2,88. On a également évalué la stabilité des échantillons traités au moyen d'essais de durabilité (résistance, conductivité hydraulique, cycle de gel-dégel).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.222
Teacher spread0.214 · 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 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

Citations2
Published2007
Admission routes3
Has abstractyes

Explore more

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