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Record W3135247099 · doi:10.1063/5.0043017

An investigation of the wakes of stranded cables using particle image velocimetry

2021· article· en· W3135247099 on OpenAlexafffund
Mohamed Abdelhady, David Wood

Bibliographic record

VenuePhysics of Fluids · 2021
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Electric System Operator
KeywordsPhysicsParticle image velocimetryReynolds numberVorticityVortex sheddingMechanicsWakeCylinderVortexTurbulenceReynolds stressOpticsWater tunnelGeometry

Abstract

fetched live from OpenAlex

Stranded cables are used in a wide range of applications, but the flow over them has not been studied extensively. Instead, many applications assume circular cylinder behavior when modeling the wake dynamics. This paper provides a detailed study of the wakes of two stranded cables using two-dimensional particle image velocimetry in the streamwise-normal and streamwise-spanwise planes. The first cable had six outer strands and the second had three. A circular cylinder was also investigated experimentally as to provide a benchmark for comparison. The experiments were done in a water channel at a Reynolds number of ∼3100, based on the circumscribing diameter. Proper orthogonal decomposition and phase-averaging were used to investigate the coherent and incoherent fields. The results showed that 3 × 1 with the largest variations in the sectional width experiences a local stream of higher streamwise velocity along the span and that both cables have ∼20% higher mean spanwise velocity, relative to the cylinder. The stranded cable wakes are dominated by alternatively shed Kármán vortices, at a frequency similar to the circular cylinder. However, the Reynolds stresses, the shape factor, and the details of vortex shedding showed substantial alterations associated with the cable strands, including 58% variation, relative to the cylinder, in total, coherent, and incoherent Reynolds stresses for cables along the span. In addition, the cable strands resulted in the elongation and distortion of the mean spanwise vorticity, without changing their magnitude or thickness. Finally, the strands generally increase the magnitudes of turbulent transport and coherent diffusion, and production, especially at the shear layers.

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 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 score0.400
Threshold uncertainty score0.190

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.236
Teacher spread0.221 · 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 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

Citations12
Published2021
Admission routes2
Has abstractyes

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