MétaCan
Menu
Back to cohort
Record W3017136384 · doi:10.1177/1099636220919108

Supersonic flutter analysis of annular/circular sandwich panels containing magnetorheological fluid

2020· article· en· W3017136384 on OpenAlexaff
Mehdi Eshaghi

Bibliographic record

VenueJournal of Sandwich Structures & Materials · 2020
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsConcordia University
Fundersnot available
KeywordsFlutterMagnetorheological fluidSupersonic speedAerodynamicsMechanicsAeroelasticityStructural engineeringBoundary value problemPiston (optics)Aerodynamic forceChoked flowPhysicsEngineeringDamperOptics

Abstract

fetched live from OpenAlex

The present study investigates the effect of magnetorheological fluids on the aeroelastic stability and flutter boundaries of the circular/annular magnetorheological (MR) sandwich plates in a supersonic airflow. The linear piston theory is employed to formulate the external force applied to the structure due to the aerodynamic pressure. The classical plate theory along with Hamilton’s principle is used to derive governing equations of motion of the sandwich plate. The assumed mode method is utilized to solve the equations and identify the flutter boundaries of the structure. In order to demonstrate validity of the developed model, an experiment is conducted on a circular MR sandwich plate to characterize dynamic properties of the structure, under different levels of the magnetic field, in terms of the resonant frequencies. Then, the verified model is employed to investigate the effects of MR fluid, magnetic field, boundary condition and inner/outer radius of the circular/annular MR sandwich plate on the aerodynamic instability of the structure. The results highlight the significance of the MR fluid in extending flutter boundaries of the annular/circular sandwich plates in the supersonic airflow.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.220
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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

Citations21
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sandwich Structures & MaterialsSame topicVibration Control and Rheological FluidsFrench-language works237,207