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Record W4402651433 · doi:10.1051/e3sconf/202456912003

Water retention characterization of non-woven geotextiles: An application for wicking materials

2024· article· en· W4402651433 on OpenAlexafffund
J. Jarjour, Mohamed A. Meguid, Sam Bhat

Bibliographic record

VenueE3S Web of Conferences · 2024
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental HealthMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsMaterials scienceCharacterization (materials science)Composite materialNanotechnology

Abstract

fetched live from OpenAlex

Non-woven geotextiles are commonly used in soil embankments for separation, filtration, and drainage purposes. While these conventional geotextiles can effectively drain gravitational water from saturated embankments, they often struggle to drain capillary water when the embankments are unsaturated—a typical state during their service life. This inefficiency can lead to water accumulation, potentially resulting in moisture-induced damage. To overcome this, a new geotextile, termed "wicking non-woven geotextile," has been introduced. This material is engineered to drain capillary water from unsaturated embankments more effectively. This paper aims to offer a thorough review of the unsaturated behavior of geotextiles, discussing characterization methods and experimental techniques. Furthermore, we will present the results of a capillary rise test, which will help determine the geotextile-water retention curves (GWRC) for a wicking geogrid composite

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 score0.519
Threshold uncertainty score0.287

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 head0.227
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

Citations3
Published2024
Admission routes2
Has abstractyes

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