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Record W2552396576 · doi:10.1007/s41062-016-0047-2

Unsaturated shear strength properties of a compacted expansive soil from Regina, Canada

2016· article· en· W2552396576 on OpenAlexafffundabout
Rashedul H. Chowdhury, Shahid Azam

Bibliographic record

VenueInnovative Infrastructure Solutions · 2016
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversity of Regina
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Regina
KeywordsExpansive clayGeotechnical engineeringCompactionCohesion (chemistry)Materials scienceSaturation (graph theory)ShrinkageVoid ratioSuctionComposite materialSoil waterGeologySoil scienceMathematicsChemistryEngineering

Abstract

fetched live from OpenAlex

Abstract The main objective of this research was to investigate the unsaturated shear strength properties of the compacted expansive soil from Regina (Saskatchewan, Canada). Laboratory investigations on a typical expansive clay (liquid limit of 77% and plastic limit of 27%) were conducted using both saturated and unsaturated samples. Results indicated that the SWCC had one AEV of 10 kPa forwandθand two AEVs forS: 10 and 7000 kPa due to drainage through inter-clod pores and soil matrix, respectively. Most of the shrinkage occurred aroundS ≈ 80%, whereas desaturation before and after this value was associated with small changes in void ratio. Likewise, the peak stress on the dry side of optimum along with the initial gradient of the stress-displacement curve of up to 250 kPa and 13,350 kPa/mm, respectively, decreased to 170 kPa and 5670 kPa/mm on the wet side of optimum. The variation in cohesion followed the compaction curve and increased from 24 kPa on dry side to 65 kPa at optimum and then decreased to 33 kPa on wet side. The friction angle followed an L-shaped trend and decreased from 44° on dry side to 29° at optimum and to 27° on wet side. Finally, the S-shapedϕbcurve was in agreement with compaction characteristics and the SWCC. Theϕbcurve comprised 1° increase on dry side (and approaching residual suction), 12° increase around optimum (between AEV and residual suction), and 2° increase on wet side that tended to approach ϕ near saturation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.709

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.185
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations27
Published2016
Admission routes3
Has abstractyes

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