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Record W4405592570 · doi:10.1139/cgj-2024-0090

Effect of compressibility on the stress state of wet and dry bauxite residue

2024· article· en· W4405592570 on OpenAlexvenueno aff
Erwin Mmbando, Andy Fourie, David Reid, Jinglong Gao

Bibliographic record

VenueCanadian Geotechnical Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicBauxite Residue and Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsBauxiteCompressibilityGeotechnical engineeringStress (linguistics)Residue (chemistry)Environmental scienceGeologyMaterials scienceEngineeringMetallurgyChemistry

Abstract

fetched live from OpenAlex

The construction of filtered tailings storage facilities (TSFs) provides an alternative deposition strategy to mitigate the risk of liquefaction of loose and saturated hydraulically placed tailings through the processes of filtration and compaction. However, challenges in depositing and compacting filtered tailings can impede efforts to achieve unsaturated and/or dilative conditions. For example, it is shown that for the same compaction degree and initial void ratio, clays compacted wet of optimum moisture content (OMC) are more compressible than those compacted dry of OMC. Further, increasing stress in initially dilative soils can result in intersection of the normal compression line with the critical state line (CSL), thereby transitioning from a dilative to a contractive state. To assess the effect of compressibility on this transition stress of filtered tailings, one-dimensional compression behavior of wet and dry compacted bauxite residue (red mud) was compared with the CSL for the same material. Soil-water retention tests were also carried out on one-dimensionally compressed samples to estimate the matric suction and effective stress while considering the effects of salinity in red muds. The results showed that for the same compaction conditions, dry filtered tailings transitioned from dilative to contractive conditions at lower transition stress than wet filtered tailings. The implications of these findings on minimizing the risks of flow liquefaction in filtered TSFs were outlined.

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)0.001
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 score0.634
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.220
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 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Geotechnical JournalSame topicBauxite Residue and UtilizationFrench-language works237,207