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Record W2072020383 · doi:10.1115/smasis2014-7543

Dynamic Characterization of a Partially Treated MR Based Sandwich Plate: Finite Element Modeling and Experimental Study

2014· article· en· W2072020383 on OpenAlexaff
Mehdi Eshaghi, Ramin Sedaghati, Subhash Rakheja

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsConcordia University
Fundersnot available
KeywordsFinite element methodShear modulusMaterials scienceSlippageVibrationMagnetic fieldCore (optical fiber)Shear (geology)Magnetorheological fluidExcitationPhenomenological modelMechanicsStructural engineeringComposite materialPhysicsEngineeringAcousticsCondensed matter physics

Abstract

fetched live from OpenAlex

The dynamic characteristics of a partially treated MR sandwich plate are investigated through finite element analysis and laboratory experiments. A finite element (FE) model is developed to formulate the governing equations of motion of the multi-layer plate with a partial MR fluid core layer, while considering the slippage between the constraining top and bottom aluminum layers. A phenomenological model is further proposed to describe the complex shear modulus of the MR fluid in the pre-yield region as a function of both the applied magnetic field and the excitation frequency. The validity of the FE model is demonstrated through measurements in the laboratory under different intensities of the magnetic field. The results show important effect of the shear deformations in vibration suppression capability of the MR sandwich plate.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.287

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 head0.010
GPT teacher head0.219
Teacher spread0.209 · 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
Published2014
Admission routes1
Has abstractyes

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