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Record W4413161988 · doi:10.1680/jgein.25.00030

Drainage performance of wicking geotextiles under rainfall and capillary rise conditions

2025· article· en· W4413161988 on OpenAlexaffabout
J. Jarjour, Mohamed A. Meguid, S. Bhat

Bibliographic record

VenueGeosynthetics International · 2025
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsMcGill University
Fundersnot available
KeywordsGeosyntheticsDrainageGeotechnical engineeringCapillary actionGeotextileGeologyEnvironmental scienceHydrology (agriculture)Materials scienceComposite material

Abstract

fetched live from OpenAlex

Wicking geotextiles have been developed to overcome the limitations of conventional geotextiles in unsaturated soil conditions. Over the past decade, research has demonstrated the effectiveness of woven wicking geotextiles in draining capillary water and improving lateral drainage. However, the performance of nonwoven wicking geotextiles under different drainage conditions remains largely unexplored. This study assesses the effectiveness of nonwoven wicking geotextiles in various unsaturated soils using soil column and soil box tests to simulate capillary rise and rainfall, respectively. In the column test, clayey sand was used to evaluate capillary rise, while the box test examined two subgrade materials: Ottawa sand (well-draining) and clayey sand (poorly draining). Volumetric water content was monitored under three conditions: wicking geotextile, non-wicking geotextile, and a control with no geotextile. Results indicate that the wicking geotextile significantly restricts capillary rise, reducing it by around 100 mm in clayey sand columns. After rainfall, wicking geotextile prevents water accumulation above the geotextile and enhances drainage efficiency in both sand types, with superior performance in Ottawa sand. By limiting upward water movement and promoting effective drainage, the wicking geotextile mitigates moisture-induced instability risks in embankments, offering substantial advantages over conventional geotextiles for geotechnical drainage applications.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.361

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 head0.004
GPT teacher head0.205
Teacher spread0.202 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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