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Record W7116122908 · doi:10.82417/v3xz-pd31

Effect of partial sheltering on spanwise wake interference of unequal-height tandem circular cylinders

2025· other· en· W7116122908 on OpenAlexfundno aff

Bibliographic record

VenueEspace ÉTS (ETS) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWakeParticle image velocimetryVortex sheddingReynolds numberVortexCylinderEntrainment (biomusicology)Boundary layerWake turbulenceFlow (mathematics)

Abstract

fetched live from OpenAlex

Time-resolved particle image velocimetry is used to investigate the effects of partial sheltering on the unsteady wake dynamics of unequal-height tandem cylinders submerged in a turbulent boundary layer (TBL). The height ratio of the cylinders was kept constant at ℎ/▯ = 0.75 based on the aspect ratios of ℎ/▯ = 5.3 for the upstream (UC) and ▯/▯ = 7.0 for the downstream (DC) cylinders, where ℎ and ▯ represent the height of the UC and DC, respectively and ▯ the diameter of the cylinders. The center-to-center spacing between the cylinders was 4▯, Reynolds number based on the cylinder diameter (▯) was 5540 and the submergence ratio was ▯/▯ = 1.2, where ▯ is the TBL thickness. Measurements were performed in three streamwise-spanwise planes along the height of the tandem cylinders (TC) and single cylinder (SC) identical to the DC. The results showed that wake interference by the DC enhanced the near wall reverse flow region, while reducing the vortex shedding frequency behind the UC compared to the SC. For the DC, the enhanced flow entrainment from the side accelerated the vortex formation of larger structures in the sheltered region, while delaying the vortex formation at the unsheltered free end. As a result, the reverse flow region was reduced in the sheltered portion but enhanced near the free end of the DC.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.812
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.272
Teacher spread0.259 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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