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Record W4317635581 · doi:10.2514/6.2023-2123

Optimization of Band Gap Area in the Low-Frequency In-Plane Elastic/Acoustic Passive Adaptive Metamaterial

2023· article· en· W4317635581 on OpenAlex

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

VenueAIAA SCITECH 2023 Forum · 2023
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsMetamaterialAttenuationPeriodic boundary conditionsAcousticsCenter frequencyFrequency bandVibrationFinite element methodBand gapLow frequencySquare (algebra)Boundary value problemOpticsPhysicsMaterials scienceBand-pass filterGeometryComputer scienceBandwidth (computing)OptoelectronicsTelecommunicationsMathematics

Abstract

fetched live from OpenAlex

View Video Presentation: https://doi.org/10.2514/6.2023-2123.vid The present research aims to enhance and control bandgaps in a periodic metamaterial of square shape by adding a cylindrical core to the center of the conventional geometry and changing its arm angles. The base unit cell was unable to exhibit bandgaps mainly due to uniform mass distribution in the unit cell. The introduced modified unit cell incorporating a cylindrical core at the center with isosceles trapezoid arms permitted the generation of new bandgap areas capable of attenuation of propagating waves in desirable frequency ranges. Bloch's theorem and finite element method with periodic boundary conditions are employed to analyze the band structure and also to investigate the effect of unit cell geometrical parameters on the low-frequency band gap area. The present research outcomes may provide an essential guide to designing architected periodic filters with the ability to attenuate low-frequency elastic/acoustic vibrations.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.020
GPT teacher head0.240
Teacher spread0.219 · 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