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Record W2042672159 · doi:10.2514/1.j050697

Finite Element Free Vibration Analysis of Soft-Core Sandwich Beams

2012· article· en· W2042672159 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

VenueAIAA Journal · 2012
Typearticle
Languageen
FieldEngineering
TopicComposite Structure Analysis and Optimization
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTimoshenko beam theoryBeam (structure)Finite element methodCore (optical fiber)Displacement (psychology)VibrationGeometryDisplacement fieldBernoulli's principleLagrange polynomialMaterials scienceMathematicsStructural engineeringMathematical analysisPhysicsComposite materialEngineering

Abstract

fetched live from OpenAlex

b = width of the beam C1, C2, C3, C4 = Lagrange cubic interpolation functions Ec = Young’s modulus of the core material h, hf = height of the beam, face sheet hb, hc, hp = one-half the height of the bottom, core, and top layer L, Le = length of the beam, a representative element NE, NT = matrix of shape functions for face sheets modeled using Euler-Bernoulli or Timoshenko beam theory qeE , qeT = vector of nodal displacements of a representative element for when the face sheets are modeled using Euler-Bernoulli or Timoshenko beam theory uE, uT = vector of field variables for when the face sheets are modeled using Euler-Bernoulli or Timoshenko beam theory ub, uc, up = longitudinal displacement of a differential element of the bottom, core, and top layer wb, wc, wp = transverse displacement of the bottom, core, and top layer zb, zc, zp = local through the thickness of the bottom, core, and top 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 score0.680
Threshold uncertainty score0.749

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)0.0010.000

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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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