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Record W1990422846 · doi:10.1139/t04-099

Experimental evidence of reduction in attractive and repulsive forces between clay particles permeated with organic liquids

2005· article· en· W1990422846 on OpenAlexvenueno aff
Abidin Kaya, Hsai-Yang Fang

Bibliographic record

VenueCanadian Geotechnical Journal · 2005
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
Fundersnot available
KeywordsFlocculationSiltSoil waterHydraulic conductivityClay mineralsKaoliniteLeachateGeotechnical engineeringMaterials scienceChemical engineeringChemistryMineralogyGeologySoil scienceEnvironmental chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Researchers have investigated the engineering properties of clayey soils with organic fluids to evaluate the performance of earth structures affected by chemical spills or leachate. Reported results show that when the pore water of clayey soils was replaced with organic liquids, the engineering properties of clayey soils, such as hydraulic conductivity and stress–strain behavior, varied significantly and were similar to those of fine sand – silt. Variations in the engineering properties were mainly attributed to flocculation of particles due to decreases in the attractive and repulsive forces between the particles without showing any direct experimental evidence. In this study, flocculation of kaolinite and bentonite particles was investigated in the presence of water and organic liquids using an optical microscope (OM), and the first experimental evidence of soil flocculation due to pore fluid is presented. The OM results reveal that when the pore water of the soil is replaced with organic fluids, the soil particles flocculate and form a clustered structure with large pores within the flocs. The results also indicated that the degree of flocculation and the size of the formed cluster depend on the type of clay mineral and the characteristics of the organic liquid.Key words: clayey soils, organic liquids, engineering properties, attractive and repulsive forces, optical microscope.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.366

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 head0.016
GPT teacher head0.236
Teacher spread0.220 · 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

Citations53
Published2005
Admission routes1
Has abstractyes

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