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Record W4312690758 · doi:10.1121/10.0015667

Active structural acoustic control using the weighted sum of spatial gradients method

2022· article· en· W4312690758 on OpenAlexaff
Scott D. Sommerfeldt, Jonathan D. Blotter, Pegah Aslani, Yin Cao

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2022
Typearticle
Languageen
FieldEngineering
TopicAeroelasticity and Vibration Control
Canadian institutionsHealth Canada
Fundersnot available
KeywordsAttenuationAcoustic radiationStructural acousticsComputer scienceAcousticsAcoustic attenuationVibrationMetric (unit)Field (mathematics)RadiationPhysicsOpticsMathematicsEngineering

Abstract

fetched live from OpenAlex

Active structural acoustic control focuses on implementing vibration-based control on a structure with the objective of achieving attenuation of the radiated acoustic field. It has been shown that utilizing control metrics that are integrally associated with the desired control result will generally lead to greatly improved control results. The weighted sum of spatial gradients (WSSG) method has been developed to provide global attenuation of the acoustic field radiated from a structure. It utilizes multiple spatial gradients that form the control metric, and which are correlated with various radiation mechanisms associated with the structure. The WSSG method will be briefly overviewed and the implementation of the method will be discussed. It will also be shown that the method is related to the concept of acoustic radiation modes, which have been used to describe radiation from structures. The WSSG method has been applied to several types of structures, and both computational and experimental results will be shown for flat plates and cylindrical shells to demonstrate the effectiveness of the control method.

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)0.001
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: none
Teacher disagreement score0.918
Threshold uncertainty score0.321

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.247
Teacher spread0.237 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of the Acoustical Society of AmericaSame topicAeroelasticity and Vibration ControlFrench-language works237,207