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Record W2039841363 · doi:10.1520/gtj20120220

An Unconfined Swelling Test for Clayey Soils That Incorporates Digital Image Correlation

2013· article· en· W2039841363 on OpenAlexaff
Bee Fong Lim, Greg Siemens

Bibliographic record

VenueGeotechnical Testing Journal · 2013
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsSwellSwellingGeotechnical engineeringExpansive clayDigital image correlationDeformation (meteorology)GeologySoil testSoil waterSoil scienceMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Abstract A new laboratory test apparatus and methodology have been developed for characterizing the swelling potential of expansive soil under free stress conditions. Soil specimens are given access to water under true free swell conditions, and the maximum swelling potential is determined experimentally. Real-time deformation measurements and interpretation are obtained through digital image correlation using GeoPIV. The capabilities of the new test are illustrated using a remolded natural swelling soil. Both primary and secondary swelling behavior were observed during testing. The effect of the aspect ratio was assessed, and it was found that smaller specimens achieved equivalent swelling strains with significantly shorter test durations. The non-contact deformation results agree with the end-of-test hand measurements. The non-contact method also provides additional valuable information regarding the time-dependent swell behavior and evaluation of the end-of-test criterion. The results are interpreted using the Swell Equilibrium Limit, which is a unifying framework for the analysis and prediction of swelling soil deformations under defined initial and boundary conditions.

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: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.822

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.227
Teacher spread0.203 · 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

Citations6
Published2013
Admission routes1
Has abstractyes

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