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Three-Dimensional Analysis of Geogrid-Reinforced Soil Using a Finite-Discrete Element Framework

2014· article· en· W2006352086 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Geomechanics · 2014
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsMcGill University
Fundersnot available
KeywordsGeogridFinite element methodGeotechnical engineeringVoid (composites)Discrete element methodStructural engineeringNumerical analysisGeologyEngineeringMaterials scienceMathematicsMechanicsReinforcementPhysicsMathematical analysisComposite material

Abstract

fetched live from OpenAlex

Three-dimensional analysis of soil-structure interaction problems considering the response at the particle scale level is a challenging numerical modeling problem. An efficient framework that takes advantage of both the finite- and discrete-element approaches to investigate soil-geogrid interactions is described in this paper. The method uses finite elements to model the structural components and discrete particles to model the surrounding soil to reflect the discontinuous nature of the granular material. The coupled framework is used in this study to investigate two geotechnical engineering problems, namely, strip footing over geogrid-reinforced sand and geogrid-reinforced fill over a strong formation containing void. The numerical model is first validated using experimental data and then used to provide new insights into the nature of the three-dimensional interaction between the soil and the geogrid layer.

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.

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: none
Teacher disagreement score0.820
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.009
GPT teacher head0.235
Teacher spread0.225 · 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