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Record W4302035550 · doi:10.1615/tsfp7.1370

TURBULENCE STRUCTURE OVER ALIGNED AND INCLINED RIBS IN ADVERSE PRESSURE GRADIENT

2011· article· en· W4302035550 on OpenAlexaff
Jonathan M. Tsikata, Mark F. Tachie

Bibliographic record

VenueProceeding of Seventh International Symposium on Turbulence and Shear Flow Phenomena · 2011
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTurbulenceAdverse pressure gradientMechanicsRib cagePressure gradientParticle image velocimetryDragTransverse planeFlow (mathematics)Open-channel flowVelocity gradientPipe flowMaterials sciencePhysicsOpticsGeologyFlow separationStructural engineeringEngineering

Abstract

fetched live from OpenAlex

This paper reports an experimental study of fully developed channel and adverse pressure gradient (APG) turbulent flows over transverse square ribs inclined at 90° and 45° to the approach flow. A particle image velocimetry (PIV) system was used to conduct velocity measurements in the streamwise-wall-normal plane in order to study the structural features of the flow over these rib configurations as well as the effects of APG on the flow. The results demonstrate that APG enhanced turbulence level compared to the fully developed channel flow. On the other hand, the 45° ribs decreased drag compared to 90° ribs. The two-point velocity correlations revealed that the inclination as well as the size of the hairpin packets varies with rib inclination and pressure gradient.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.008
GPT teacher head0.202
Teacher spread0.193 · 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 designBench or experimental
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 routes1
Has abstractyes

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