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Record W2883193316 · doi:10.36487/acg_rep/1063_5_fall

Polymer modified paste fill for isolation of waste disposal sites

2010· article· en· W2883193316 on OpenAlexafffund
Mamadou Fall, J.C. Célestin, Fa Sen Han

Bibliographic record

VenuePaste/˜Pœaste · 2010
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Ottawa
KeywordsWaste managementIsolation (microbiology)PolymerWaste materialWaste disposalMaterials scienceEnvironmental scienceComposite materialEngineering

Abstract

fetched live from OpenAlex

Engineering of waste containment facilities such as solid and hazardous waste landfills and mine waste repositories usually requires the construction of a barrier (liner, cover). The liners are usually needed to minimise the downward flux of contaminants, while the covers generally limit the accessibility of fluid (e.g. rain water) to the waste. The barrier will drastically reduce the potential impact of the waste disposal on the environment (e.g. groundwater, surface water, and ecosystem). In this paper, the results of research on potential use of polymer modified paste fill (PMP) as barrier material for waste containment facilities are presented and discussed. The saturated hydraulic conductivity of PMP mixes with different SAP (super absorbent polymer) contents were investigated at various compaction degrees. Furthermore, the relative cost and the resistance of the PMP materials to environmental stresses (freeze-thaw and wet-drying cycles) were evaluated. Valuable and encouraging results were obtained. The results have shown that possibilities of using PMP as barrier materials appeared very promising owing their good hydraulic performance, relative good resistance to environmental stresses and the reduced cost from the low admixture amount necessary to further improve this performance. The cost of a conventional barrier material made using bentonite (12%) and sand is higher than any of the studied amounts of SAP required to be mixed in the paste fill to achieve the recommended low conductivity. The benefit realised could be estimated to 98, 96 and 90% when using PMP material containing 0.10, 0.20 and 0.5% of SAP polymer.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.773

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 head0.012
GPT teacher head0.202
Teacher spread0.190 · 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

Citations3
Published2010
Admission routes2
Has abstractyes

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