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Record W2982566847 · doi:10.1680/jgein.19.00054

GCL self-healing: fully penetrating hole/slit hydrated with RO water and 10 mM Ca solution

2019· article· en· W2982566847 on OpenAlexaff
T.-K. Li, R. Kerry Rowe

Bibliographic record

VenueGeosynthetics International · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeosynthetic clay linerIndentationMaterials scienceSlitComposite materialGeosyntheticsOpticsGeotechnical engineeringSoil waterGeology

Abstract

fetched live from OpenAlex

The self-healing of fully penetrating artificial defects (circular holes and rectangular slits) in geosynthetic clay liners (GCLs) on full hydration in deionized water and 10 mM calcium chloride (CaCl 2 ) solution under 2 kPa overburden stress are compared. Circular holes with diameters up to 41 mm self-healed in deionized water but with an indentation of about up to 2 mm deep remaining at the center of the larger self-healed zones for holes of 30 mm diameter and larger. Holes of up to 35 mm diameter completely closed-up in 10 mM CaCl 2 solution, but with an indentation of about up to 6 mm deep remaining at the center of the larger self-healed zones for holes of 30 mm diameter and larger. A fully penetrating 15 mm wide × 120 mm long single slit in the center of a GCL specimen completely closed up in deionized water but not in 10 mM CaCl 2 solution. Even in deionized water, the slit does not fully close when 25 mm (or more) wide. Double parallel silts 15 mm wide × 240 mm long closed up in deionized water, but not in 10 mM CaCl 2 solution when there was a 20 mm-wide strip of undamaged GCL between the slits, but did not fully close up when the undamaged GCL strip between the slits was reduced to 10 mm or 5 mm. The difference in self-healing based on the hydrating fluid chemistry is discussed.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.999

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)0.0070.001

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 head0.206
Teacher spread0.199 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2019
Admission routes1
Has abstractyes

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