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Record W4221123299 · doi:10.1080/19386362.2022.2049048

Prediction of compressibility and shear strength behaviour of in-situ cohesive soil from reconstituted clay

2022· article· en· W4221123299 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Geotechnical Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAtterberg limitsVoid ratioCompressibilityGeotechnical engineeringMaterials scienceWater contentDirect shear testPlasticitySoil testShear strength (soil)Cohesion (chemistry)Consolidation (business)Shear (geology)Soil waterComposite materialGeologySoil scienceMechanicsChemistry

Abstract

fetched live from OpenAlex

In the present study, simplified sample preparation and testing methodology are proposed for reconstituted clay that can predict the strength and deformation behavior of its in-situ state with minimal sample preparation disturbances. Reconstituted clay specimen was prepared in designed mould for each disturbed sample. Later, predetermined proportions of admixtures were mixed to vary the liquid limits. The test results showed that the change in compression index is directly proportional to the change in the liquid limit, moisture content, and the initial void ratio of the soil samples. However, the change in angle of internal friction was inversely proportional to the liquid limit, plasticity index, and clay fraction percentage. Scanning electron microscopy tests provided in-depth insight on the comparable pore and clay flake sizes. The proposed empirical relationships from the test results could reasonably estimate the compressibility and shear strength behavior of the in-situ clay soil from the basic index properties.

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.

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 score0.085
Threshold uncertainty score0.548

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 integrity0.0000.001
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 head0.011
GPT teacher head0.209
Teacher spread0.199 · 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