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Record W4386072894 · doi:10.11159/htff23.187

Unsteady Wake And Dynamic Characteristics Of Flow Past Two Inline Circular Cylinders

2023· article· en· W4386072894 on OpenAlexvenueno aff
Shristi singh, Shaligram Tiwari

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsnot available
FundersIndian Institute of Technology Madras
KeywordsWakeFlow (mathematics)MechanicsComputer sciencePhysics

Abstract

fetched live from OpenAlex

Open-Source Field Operation and Manipulation (OpenFOAM 7) software, has been used for a two-dimensional (2D) numerical computations, to study unsteady wake characteristics in flow past two inline stationary circular cylinders.The solver (icoFoam) employs a finite volume based method (FVM) for discretization and computations.Computations are executed for the range of Reynolds number (Re) from 100 to 250 and for the range of inter-cylinder spacing (S) from 2 to 5. Effects of S and Re on the wake flow behaviour and dynamic coefficients for the cylinders have been presented.Four different values of S and Re have been considered which show influence on both the wakes, with stronger effect on the wake behind the downstream cylinder.To analyse unsteady wake characteristic, the time series of transverse velocity component has been used.In addition, the lift signals of both the cylinders have been analysed to study the phase dependence on S and Re.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.197
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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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