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Record W1494895788

Modeling the vibroacoustic response of multi-materials complex structures under mechanical excitation

2007· article· en· W1494895788 on OpenAlexaffvenue
Dilal Rhazi, Noureddine Atalla

Bibliographic record

VenueCanadian acoustics · 2007
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsStatistical energy analysisExcitationFinite element methodTransfer matrixAcousticsTransfer-matrix method (optics)Structural engineeringElectrical impedanceStructural acousticsPlane (geometry)Coupling (piping)Energy (signal processing)Materials scienceEngineeringPhysicsComputer scienceMathematicsMechanical engineeringGeometryOpticsVibration
DOInot available

Abstract

fetched live from OpenAlex

Modeling of vibroacoustic response of multi-materials complex structure, made up of parallel and homogenous layers, under mechanical excitation is demonstrated. The first approach is based on the propagation of plane waves im the main structure and layers of the NCT, the second uses Statistical Energy Analysis (SEA) for the main structure and the layers of the NCT, while the last approach uses the model technique by calculating the equivalent impedance for the added treatment. The panel size of the aircraft is accounted for in the calculation of the acoustic indicators using the Finite Transfer Matrix Method (FEMM) and the term represents a geometrical correction to account for the finite size effect. The results show that the combination of methods can be used to eliminate the assumption of low coupling that is assumed in SEA calculations.

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)0.001
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 score0.522
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.057
GPT teacher head0.287
Teacher spread0.230 · 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

Citations0
Published2007
Admission routes2
Has abstractyes

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