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Record W2332978411 · doi:10.1115/detc2012-71547

Vibration Analysis and Optimization of Sandwiched Beam Structure Using Higher Order Variation of Core Layer Displacement

2012· article· en· W2332978411 on OpenAlexaff
Jasrobin Singh Grewal, Ramin Sedaghati, Ebrahim Esmailzadeh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicComposite Structure Analysis and Optimization
Canadian institutionsOntario Tech UniversityConcordia University
Fundersnot available
KeywordsFinite element methodVibrationBeam (structure)Boundary value problemDisplacement (psychology)Core (optical fiber)Parametric statisticsDisplacement fieldMathematicsMathematical analysisMaterials scienceStructural engineeringPhysicsOpticsEngineeringAcoustics

Abstract

fetched live from OpenAlex

Vibration characteristic of a sandwiched beam type structure is analyzed using the finite element method based on a higher order model for displacement field in the core layer of the structure. Results of the higher order and linear models were compared with those of experimental ones reported in literature and shown that higher order model provides more accurate results than the linear model. The parametric studies for the developed model are presented to indicate the effect of the core thickness on the loss factor and the natural frequencies, and the results are compared with those obtained for the linear model. Finally, using the higher order model, an optimization problem is formulated to find the optimal distribution and the number of partial treatments in order to achieve highest damping value in the sandwiched beam with various boundary conditions.

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 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 score0.546
Threshold uncertainty score0.664

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 head0.010
GPT teacher head0.230
Teacher spread0.221 · 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 teacher head, 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

Citations0
Published2012
Admission routes1
Has abstractyes

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