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Record W1971480514 · doi:10.1177/1077546305047026

An Integral Equation Approach for Shape Optimization of Plate Piezoelectric Patch

2005· article· en· W1971480514 on OpenAlex
J. Zhang, John C. Bruch, J.M. Sloss

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Vibration and Control · 2005
Typearticle
Languageen
FieldEngineering
TopicComposite Structure Analysis and Optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEigenvalues and eigenvectorsIntegral equationConstraint (computer-aided design)PiezoelectricityVibrationMathematicsParametrization (atmospheric modeling)ComputationMathematical analysisActuatorPiezoelectric sensorVibration of platesBoundary (topology)Shape optimizationGeometryAcousticsComputer sciencePhysicsStructural engineeringAlgorithmEngineeringFinite element methodOptics

Abstract

fetched live from OpenAlex

In this paper, we consider a vibrating system with piezoelectric patches whose minimum vibration frequency is to be maximized subject to some constraint on the patch geometry. A numerical scheme is constructed based on the integral equation approach for the computation of the corresponding eigenvalue problem and the boundary parametrization optimization technique. Various numerical results are provided for the case of a Plexiglas plate with PVDF sensor and actuator patches.

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.

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: Methods · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.234

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 head0.006
GPT teacher head0.206
Teacher spread0.200 · 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