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Record W1993654936 · doi:10.1520/jai11731

A Simple Compatibility Testing Protocol for Bentonite-Based Barrier Systems

2004· article· en· W1993654936 on OpenAlexaff
RS Osicki, IR Fleming, MD Haug

Bibliographic record

VenueJournal of ASTM International · 2004
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCompatibility (geochemistry)BentoniteMaterials scienceSimple (philosophy)Computer scienceComposite materialChemical engineeringEngineering

Abstract

fetched live from OpenAlex

Abstract This paper investigates macroscopically observable properties of bentonite. Bentonite slurries were prepared with varying pore water chemistry, using salt solutions for which compatibility problems have been shown. Using these samples, a rapid testing protocol was developed for evaluation of compatibility. Fann viscometer and filter press testing are well-established methods to examine bentonite quality and expected permeability of bentonite based barrier systems. This paper presents new research into the use of these simple tools to examine potential alteration or compatibility problems. Bentonite slurries made using the permeant of interest can be quickly evaluated for comparison with water-hydrated slurries. These results were confirmed with permeameter tests using GCLs. The permeability from the GCLs can be compared with the relative values inferred from the filter press and viscometer testing related to the double layer thickness. The authors believe that this work suggests that a few quick and simple tests can be done to evaluate potential compatibility issues with bentonite in natural form or in prefabricated geosynthetics. For industry, this will have the advantage of a very quick and cheap test that may be carried out to evaluate compatibility issues.

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)0.001
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: none
Teacher disagreement score0.937
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.028
GPT teacher head0.287
Teacher spread0.259 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

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