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Record W2514213742 · doi:10.1061/9780784480182.011

A Preliminary Study of the Bentonite Self-Healing of Slits in a GCL upon Full Hydration

2016· article· en· W2514213742 on OpenAlexafffund
R. Kerry Rowe, Tikang Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsQueen's University
FundersOntario Ministry of Research and InnovationNatural Sciences and Engineering Research Council of CanadaResearch and Innovation FoundationChina Scholarship CouncilGovernment of Ontario
KeywordsBentoniteGeosynthetic clay linerSelf-healingMaterials scienceGeotechnical engineeringGeologyHydraulic conductivityMedicineSoil sciencePathology

Abstract

fetched live from OpenAlex

The experiments reported herein examine the self-healing of slits in GCLs upon hydration with deionized water under a confining stress of 2 kPa. Consideration is given to self-healing of 15 mm-wide, 25 mm-wide, and 30 mm-wide × 120 mm-long single slit in the center of a GCL specimen. The single 15 mm-wide slit fully self-healed after 65 days. Neither the 25 mm-wide × 120 mm-long nor 30 mm-wide × 120 mm-long single slit fully self-healed and a fully penetrating hole remained after full hydration. The self-healing of GCL specimens with 15 mm-wide × 240 mm-long double parallel slits is also examined. Full self-healing was observed when there was a 20 mm-wide strip of undamaged GCL between the slits. However full self-healing did not occur when the widths of this strip of bentonite between slits was reduced to 10 mm and 5 mm. This study also raises a number of questions such as what is the effect of stress, hydrating conditions, and mass of bentonite in the GCL that require further investigation.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.383

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 head0.009
GPT teacher head0.224
Teacher spread0.215 · 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 designObservational
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

Citations7
Published2016
Admission routes2
Has abstractyes

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