MétaCan
Menu
Back to cohort
Record W2157846130 · doi:10.1139/t08-127

Experimental and numerical studies of the hydromechanical behaviour of a natural unsaturated swelling soil

2009· article· en· W2157846130 on OpenAlexvenueno aff
Hossein Nowamooz, Mohamad Mrad, Adel Abdallah, Farimah Masrouri

Bibliographic record

VenueCanadian Geotechnical Journal · 2009
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
FundersCHIST-ERA
KeywordsGeotechnical engineeringSwellingSuctionPorosimetrySoil waterWettingFinite element methodWater contentMaterials scienceGeologySoil scienceComposite materialPorosityPorous mediumEngineeringStructural engineering

Abstract

fetched live from OpenAlex

This paper presents experimental studies performed on a natural swelling soil. Initially, the soil fabric was studied by a mercury porosimetry test, revealing a clear bimodal pore distribution that corresponds to micro- and macrostructural levels. The water-retention curve of the soil was then determined using two suction-imposition techniques: the osmotic and the vapour equilibrium methods. During the main testing program, three successive wetting and drying cycles were applied in a suction range between 0 and 2 MPa under different values of constant vertical net stress using osmotic oedometers. The test samples showed cumulative swelling strains during the cycles. The volumetric strains reached an equilibrium stage, indicating an elastic behaviour of the samples at the end of the suction cycles. Based on these results, the parameters of an elastoplastic model for swelling unsaturated soils (BExM) were derived. This model, implemented in a finite element code (Code_Bright), was applied to a practical problem of a shallow foundation based on a swelling soil. This application studies the effects of hydraulic solicitations on settlements of this foundation. The results show the capacity of the model to solve complex hydromechanically coupled problems.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.454

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 head0.012
GPT teacher head0.229
Teacher spread0.216 · 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 designBench or experimental
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
Published2009
Admission routes1
Has abstractyes

Explore more

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