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Record W2905770468 · doi:10.32920/ryerson.14645511

Dynamic Finite Element Modelling And Free Vibration Analysis Of Two Dimensional Elements

2021· preprint· en· W2905770468 on OpenAlexaff
Mohammad Moeid Elahikahooker

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicComposite Structure Analysis and Optimization
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFinite element methodVibrationMATLABConvergence (economics)BendingPartial differential equationSoftwareVibration of platesBeam (structure)Computer scienceElement (criminal law)Structural engineeringWork (physics)Plate theoryMathematical analysisMechanical engineeringEngineeringMathematicsPhysicsAcoustics

Abstract

fetched live from OpenAlex

DFE is proven to be a powerful tool for analysis of structural problems involving vibration of beams, by introducing frequency dependence in element matrices. This method is extended here to thin plate vibration cases. Lack of previous systematic approach and great performance of beam DFEs were particular drives of the present work. Kirchhoff’s plate bending theory is derived and used as the reference equation describing element behaviour. DFE is implemented in MATLAB® software and evaluated for different conditions. FEM plates are developed for similar geometry using MATLAB® as well and their performance is compared against DFE formulation. Convergence studies are performed and comparisons between FEM and DFE elements are shown. Moreover, critical review of previous works on plate vibrational modelling is made which highlighted the difficulty involved in solving the partial differential equation of plates. Finally comments about the current element and the potential direction of future research are given.

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 score0.606
Threshold uncertainty score0.820

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)0.0000.000

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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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
Published2021
Admission routes1
Has abstractyes

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