MétaCan
Menu
Back to cohort
Record W2966725019 · doi:10.1139/cgj-2019-0219

Movement of water in compacted bentonite and its relation with swelling pressure

2019· article· en· W2966725019 on OpenAlexvenueno aff
Hailong Wang, Takumi Shirakawabe, Hideo Komine, Daichi Ito, Takahiro Gotoh, Yuta Ichikawa, Qiao Chen

Bibliographic record

VenueCanadian Geotechnical Journal · 2019
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
FundersWaseda UniversityMinistry of Economy, Trade and Industry
KeywordsBentoniteMontmorilloniteSwellingAbsorption of waterGeotechnical engineeringMaterials sciencePhase (matter)GeologyThermal diffusivityMineralogyChemistryComposite materialThermodynamicsPhysics

Abstract

fetched live from OpenAlex

A testing procedure was proposed to study water movement in compacted bentonite and the development of swelling pressure (p s ) when compacted bentonite specimens were wetted. In this procedure, a multi-ring mold was introduced for p s measurements, after which the specimen was sliced for X-ray diffraction to find movement of water in the interlayer space of montmorillonite. Results revealed a relation between four phases of p s development and evolution of four states of interlayer water molecule arrangement of montmorillonite (L): when p s reached its first peak in phase I, L moved from 1 row water arrangement (1w) to at least 2w; when p s decreased and re-increased in phases II or III, L moved from 2w to at least 3w; and when p s reached a steady state in phase IV, L = 3w. The w distribution in the compacted bentonite was also measured as water absorption time increased. Based on those results, the global water movement was estimated in terms of diffusivity (D) following a method employing Boltzmann transform. Results of comparisons implied that D calculated using this method matched experimental data well and the method was rather easily handled.

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 score0.132
Threshold uncertainty score0.209

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 head0.005
GPT teacher head0.170
Teacher spread0.165 · 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

Citations42
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Geotechnical JournalSame topicSoil and Unsaturated FlowFrench-language works237,207