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Record W2053477294 · doi:10.2514/2.991

Higher-Order Finite Element for Sandwich Plates

2000· article· en· W2053477294 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

VenueAIAA Journal · 2000
Typearticle
Languageen
FieldEngineering
TopicComposite Structure Analysis and Optimization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFinite element methodStructural engineeringOrder (exchange)Materials scienceMathematicsGeometryEngineering

Abstract

fetched live from OpenAlex

A finite element model for the analysis of sandwich plates with laminated composites facesheets is developed. In the model, the facesheets are represented as Reissner-Mindlin plates and the core is modeled as a three-dimensional continuum in which the through-thickness representation of the displacement fields is of a mixed form. That is, the u and v deflections are cubic functions of z, whereas w is a quadratic function of z. This representation allows accurate modeling of a wide range of core types (honeycomb and foam) and in particular core materials that have low in-plane stiffness compared to the transverse stiffness. Also, these through-thickness trial functions allow an accurate representation of transverse shear and normal stresses. The presented model provides a powerful general tool for the analysis of sandwich plates; transverse normal and shear stresses can be determined explicitly at the core/facesheet interface. Also, because of the core model adopted, good accuracy is obtained when large differences in transverse vs in-plane core stiffness is present, as well as for cases in which the core stiffness changes rapidly in the plane of the plate. The capability of the model is illustrated with several examples.

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: none
Teacher disagreement score0.529
Threshold uncertainty score0.996

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)0.0040.000

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 head0.206
Teacher spread0.201 · 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