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Record W4392438382 · doi:10.1016/j.compgeo.2024.106200

Understanding structural anisotropy and mechanical properties of Na-montmorillonite with crystalline swelling and uniaxial deformation under different hydration degrees

2024· article· en· W4392438382 on OpenAlexaff
Bonan Li, Chengkai Li, Yilin Gui, Haifei Zhan, Yuantong Gu, Miao Yu, R. Kerry Rowe

Bibliographic record

VenueComputers and Geotechnics · 2024
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsQueen's University
FundersAustralian Research CouncilQueensland University of Technology
KeywordsMaterials scienceAnisotropyMontmorilloniteSwellingUltimate tensile strengthDeformation (meteorology)Composite material

Abstract

fetched live from OpenAlex

Montmorillonite (MMT) is the main component of bentonite and its mechanical behaviour is sensitive to hydration degrees and structural anisotropy. In this study, molecular dynamics (MD) simulations were used to investigate the atomic structures and fracture behaviour of Na-MMT. The different deformation scenarios are applied to the Na-MMT with different hydration levels within the crystalline swelling phase of hydration. It is found that the mechanical behaviour of Na-MMT is significantly influenced by interlayer hydration degree and structural anisotropy. For example, the ultimate tensile strength and Young's modulus of Na-MMT exhibit decreasing trends with increasing hydration degrees. When tensile strain is applied along the two in-plane directions of the MMT layer, the fracture is observed in the silica-oxygen octahedra. The increase in hydration degree also raises the interlayer potential energy of the clay plate and reduces its stability. Meanwhile, buckling behaviour is observed under compression. These findings provide important insights into the origin of Na-MMT anisotropy, elucidating the complex interplay between the degree of hydration, structural anisotropy, and uniaxial deformation of Na-MMT. This work also provides key scientific insights for future studies of temperature effects, interlayer cation, and other mechanical responses.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.370

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 integrity0.0000.000
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 head0.027
GPT teacher head0.189
Teacher spread0.162 · 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

Citations16
Published2024
Admission routes1
Has abstractyes

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