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Record W1607023497

Analysis of the extreme acoustic pressure in multi-Fluid shell systems subjected to an external pulse

2011· article· en· W1607023497 on OpenAlexafffundvenue
С. С. Яковлев, Kyle Williston, Garrett Dooley, Jonathan Gaudet

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicUnderwater Acoustics Research
Canadian institutionsGolder Associates (Canada)Dalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaKillam TrustsDalhousie University
KeywordsShell (structure)Fourier seriesMechanicsDisplacement (psychology)HarmonicsOrdinary differential equationSeries (stratigraphy)Pulse (music)PhysicsFourier transformSpherical shellMaterials scienceAcousticsDifferential equationClassical mechanicsMathematicsMathematical analysisOpticsComposite materialGeology
DOInot available

Abstract

fetched live from OpenAlex

A study that was conducted examine the extreme acoustic pressure in multi-fluid shell systems subjected to an external pulse is presented. A thin elastic circular cylindrical shell was considered, which was filled with and submerged into different fluids. It was assumed that the shell is thin enough, and that its deflections are small in comparison to its thickness, so that the linear shell theory can be employed. It was further assumed that the LoveKirchhoff hypothesis holds true. The pressure is then obtained as a Fourier series with time dependant coefficients which, for the radiation pressure depend on the unknown normal displacements of the shell. Then, the same series form is used for the shell displacements and, substituting them into the shell equations, researchers arrive at the systems of the ordinary differential equations for each of the displacement harmonics.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.245
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.072
GPT teacher head0.248
Teacher spread0.176 · 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.

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
Published2011
Admission routes3
Has abstractyes

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