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Record W1622615777 · doi:10.3233/jae-2008-923

Piezoelectric cylinder under voltage and axial loading

2008· article· en· W1622615777 on OpenAlexaff
Teerapong Senjuntichai, Wichairat Kaewjuea, R. K. N. D. Rajapakse

Bibliographic record

VenueInternational Journal of Applied Electromagnetics and Mechanics · 2008
Typearticle
Languageen
FieldEngineering
TopicNumerical methods in engineering
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCylinderMaterials sciencePiezoelectricityVoltageAcousticsStructural engineeringMechanicsElectrical engineeringComposite materialMechanical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

This paper considers quasi-static linear response of a solid piezoelectric cylinder due to electric voltage and mechanical loading applied at the ends. A recently developed analytical general solution for an annular cylinder of finite length is used to analyze this complex mixed-boundary value problem. The general solution for electroelastic field and the applied loading are expressed in terms of Fourier-Bessel infinite series. Both flexible electrodes in smooth contact with and rigid electrodes bonded to the cylinder ends are considered. The problem is formulated by dividing the electrode contact area into several annular rings and developing a flexibility equation system based on a set of influence functions to satisfy the mixed-boundary conditions at the cylinder ends. The present approach allows consideration of a cylinder under a variety of electromechanical loading conditions. Accuracy of the present scheme is confirmed by comparing with the existing solutions for the limiting case of an elastic cylinder. Selected numerical results for different cylinder length-radius ratios, electrode dimensions, materials and electric voltage and mechanical loads are presented to demonstrate the coupled electromechanical behavior of a cylinder.

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)0.001
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.009
GPT teacher head0.219
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

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

Citations7
Published2008
Admission routes1
Has abstractyes

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