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Record W2889030580 · doi:10.1063/1.5041751

Fully developed building unit cavity source for long multiple shallow cavity configurations

2018· article· en· W2889030580 on OpenAlexaff
Ayman A. Shaaban, Samir Ziada

Bibliographic record

VenuePhysics of Fluids · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPhysicsExcitationMechanicsAmplitudeSource functionAcousticsOpticsAstrophysics

Abstract

fetched live from OpenAlex

Fluid resonant oscillations have been reported for corrugated pipes installed in offshore gas and oil fields. Corrugated pipes can be modelled as a series of consecutive shallow cavities. The current study investigates the development of the individual cavity source along multiple-cavity arrangements and whether this source eventually reaches a fully developed form with a persistent source contribution. Such a contribution defines a proposed building unit cavity source. To achieve this objective, the aeroacoustic source of a test section with a gradually increasing number of cavities is measured by means of the standing wave method. The individual cavity source is found to asymptotically reach a constant value starting from the fourth cavity. This source value is a function of the excitation level and eventually decays at a high excitation level of 10%. The measured building unit source is validated by two different approaches. First, a prediction model is developed for a twelve-cavity configuration based on the building unit source. Fair agreement is found between the predicted and the experimentally measured pressure amplitudes. The second validation approach involves extracting the source of the ninth cavity in a twelve-cavity configuration using Howe’s analogy based on particle image velocimetry measurements. The ninth cavity source fairly matches the building unit source for excitation levels higher than 1%. For lower excitation levels, three-dimensional flow effects are found to become more dominant and lead to larger discrepancies with the unit source.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.275
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2018
Admission routes1
Has abstractyes

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