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Record W2315121864 · doi:10.2514/6.2012-1914

Finite Element Analysis of a Wrinkled Rectangular Membrane with Elliptical Boundary Cuts

2012· article· en· W2315121864 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis and Optimization
Canadian institutionsYork University
FundersCanadian Space Agency
KeywordsFinite element methodTension (geology)Materials scienceBoundary value problemStructural engineeringBoundary (topology)ThermalMechanicsReduction (mathematics)Thermal expansionComposite materialGeometryEngineeringMathematicsPhysicsThermodynamicsMathematical analysisCompression (physics)

Abstract

fetched live from OpenAlex

This paper presents finite element analysis of a rectangular membrane with elliptical boundary cuts under various loading conditions. A thermo-mechanical analysis investigates the effects of heat loads on the wrinkling and wrinkle reduction using boundary forces. A localized heat load will cause thermal expansion of the membrane close to the heat source while further areas will remain unaffected. The expansion of the heated area will cause compressive stresses where it meets unaffected regions causing wrinkles to form. To remove the wrinkling due to thermal loads, various tension force combinations are analyzed and the results show that it is possible to do so, and an appropriate tension scheme is set up. To try to validate the results from analysis, preliminary experimental data is compared to the results obtained from Abaqus.

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 categoriesInsufficient payload (model declined to judge)
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 score0.236
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.198
Teacher spread0.192 · 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

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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