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Record W2123797123 · doi:10.1680/gein.8.0195

Measurement of Geotextile-Water Characteristic Curves Using a Controlled Outflow Capillary Pressure Cell

2001· article· en· W2123797123 on OpenAlexafffund
Mark A. Knight, Shravan Kotha

Bibliographic record

VenueGeosynthetics International · 2001
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Waterloo
KeywordsGeotextileOutflowGeotechnical engineeringDrainageCapillary actionGeosyntheticsMaterials scienceGeologyComposite material

Abstract

fetched live from OpenAlex

The present paper describes the use of a controlled outflow capillary pressure cell for the measurement of geotextile-water characteristic curves. Fine sand with a known soil-water characteristic curve and a geotextile column drainage experiment were used to validate the controlled outflow cell. The controlled outflow cell was also used to measure drainage geotextile-water characteristic curves for one, three, and six vertically stacked nonwoven geotextile specimen layers. Test results indicate the following: (i) the controlled outflow cell can measure a complete nonwoven drainage geotextile-water characteristic curve with a water entry pressure of 50 mm; (ii) vertical stacking of the nonwoven geotextile has little influence on the geotextile-water characteristic curve; and (iii) a geotextile-water characteristic curve can be measured in less time when compared with Klute’s method. Test results also indicate that ASTM D 854 may be used to determine the specific gravity of the nonwoven geotextile.

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 score0.156
Threshold uncertainty score0.543

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 head0.013
GPT teacher head0.201
Teacher spread0.188 · 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

Citations26
Published2001
Admission routes2
Has abstractyes

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