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Record W2555398106 · doi:10.1061/9780784412121.448

Shear Strength of Water-Repellent Hydrophobic Granular Media

2012· article· en· W2555398106 on OpenAlexfundno aff
Yong‐Hoon Byun, Horacio Jose Varona Morato, Tae Sup Yun, Jong‐Sub Lee

Bibliographic record

VenueGeoCongress 2012 · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
FundersNational Research Foundation of KoreaMcGill University
KeywordsWaterproofingSoil waterWater repellentMaterials scienceComposite materialSilanizationHydrophobeWettingGeotechnical engineeringShear strength (soil)Degree of saturationSaturation (graph theory)Chemical engineeringEnvironmental scienceSoil scienceGeology

Abstract

fetched live from OpenAlex

Natural soils may be changed from wettable (hereafter hydrophilic) soils to water-repellent (hereafter hydrophobic) soil due to forest fires or oil spillages. Also, the friction of hydrophobic surfaces is much lower than that of hydrophilic surfaces. The goal of this study is to compare the characteristics of shear strength on the hydrophilic and hydrophobic soils. Glass beads were synthesized by silanization technique for hydrophobic granular media. Each specimen for hydrophilic and hydrophobic granular media is prepared to a degree of saturation of S = 0 and 5%. Experimental results show that the shear strength of hydrophobic soils is lower than that of hydrophilic soils due to the difference of friction and water repellency. This study suggests that the strength of hydrophobic granular media should be considered when the soil subgrade is treated for waterproofing.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.006

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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2012
Admission routes1
Has abstractyes

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Same venueGeoCongress 2012Same topicFire effects on ecosystemsFrench-language works237,207