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Record W2149044475 · doi:10.1177/0731684405048196

Analysis of Long Fibers Direction of Transversely Isotropic Hyperelastic Material for Thermoforming Application

2005· article· en· W2149044475 on OpenAlexafffund
Fouad Erchiqui, A. Bendada, A. Gakwaya

Bibliographic record

VenueJournal of Reinforced Plastics and Composites · 2005
Typearticle
Languageen
FieldEngineering
TopicElasticity and Material Modeling
Canadian institutionsUniversité LavalUniversité du Québec en Abitibi-Témiscamingue
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHyperelastic materialThermoformingMaterials scienceTransverse isotropyComposite materialFinite element methodCompressibilityIsotropyDeformation (meteorology)Work (physics)MechanicsStructural engineeringMechanical engineeringEngineeringOptics

Abstract

fetched live from OpenAlex

In this work, we present the modeling and numerical simulation using the explicit dynamic finite element method for the hyperelastic behavior of a thin, transversely isotropic and incompressible thermoplastic membrane. The Lagrangian formulation together with the assumption of the membrane theory is used. The numerical validation is performed by comparing the theoretical solution for the uniaxial and equibiaxial Hencky deformation with the numerical results. Moreover, the effect of the transversely hyperelastic material on the thickness and on the stress distribution, for the membrane inflation, are analyzed for three different fibers orientations. Finally, a simple example of thermoforming part is presented.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 head0.005
GPT teacher head0.192
Teacher spread0.186 · 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 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

Citations4
Published2005
Admission routes2
Has abstractyes

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