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Record W4413285411 · doi:10.1680/jgein.24.00130

Direct relaxation method to calculate stresses induced by gravel particles in a geomembrane

2025· article· en· W4413285411 on OpenAlexaff
H.M.G. Eldesouky, R.W.I. Brachman

Bibliographic record

VenueGeosynthetics International · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeomembraneGeosyntheticsGeotechnical engineeringGeologyRelaxation (psychology)Geosynthetic clay linerBiogeosciencesGeotextileDilatantMaterials scienceSoil scienceHydraulic conductivitySoil water

Abstract

fetched live from OpenAlex

A new method, direct stress relaxation, was developed, verified and applied to calculate local geomembrane stress from local strain induced by gravel particles. The method utilizes the fading memory concept whereby the deformation path is taken to have a minor effect on stress if strains remain constant for some time before calculating stress. The method requires a geomembrane time-dependent material model, test time and final local strain to calculate stress. The method was tested against, and was in good agreement with, stresses from finite element models simulating physical tests. The new method was applied to analyse the deformed shape of a geomembrane from a physical test with coarse gravel above a geomembrane to examine new insights into local stresses gained from protection layer testing. Local strains were deduced from the deformed shape using thin plate theory and strains were converted to local stress by the direct stress relaxation method. The local stress results showed that different major tensile strain can develop under different major and minor local stresses. The new direct stress relaxation method now provides the ability to calculate local stress in addition to just strain, which may be used to unlock new insights into local stress rupture.

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 score0.282
Threshold uncertainty score0.836

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)0.0010.000

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 head0.290
Teacher spread0.280 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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