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Record W2731905123 · doi:10.1061/9780784480779.055

A Three-Scale Description of Partially-Saturated Swelling Clays Based on Micro-Poro-Elasticity

2017· article· en· W2731905123 on OpenAlexaff
Mahdad Eghbalian, Richard Wan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicComposite Material Mechanics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMaterials scienceElasticity (physics)Homogenization (climate)Mixture theorySurface tensionPoisson–Boltzmann equationNanoscopic scaleCapillary actionSaturation (graph theory)MechanicsExpansiveCapillary pressurePorous mediumComposite materialThermodynamicsPorosityPhysicsMathematicsNanotechnologyCompressive strength

Abstract

fetched live from OpenAlex

The homogenized stress-strain behavior of partially saturated expansive clays is mathematically derived as a multi-phase system by highlighting the underlying physics at the nanoscale. The condition of partial saturation in the clay material results into a complex three-phase system involving three scales. At the finest scale, the pore space between the electrically charged clay particles is assumed to be saturated by an electrolyte solution. The deformational behavior at equilibrium is up-scaled through a homogenization procedure based on average-field theory. The source of macroscopic swelling stress is described by the electro-chemical interactions at the nanoscale, herein governed by the Poisson-Boltzmann problem. The proposed derivation is restricted to the elastic regime and ultimately leads to a tensorial stress partitioning that elucidates the existence of a Bishop-like effective stress measure. It is shown how the interaction between fluid phases at the different scales contributes to the capillary stress with a surface tension term that is dependent on pore size and morphology.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.214
Teacher spread0.191 · 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 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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