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Record W2092087261 · doi:10.2514/1.9259

Compressible Subsonic Particle-Laden Flow over a Square Cylinder

2004· article· en· W2092087261 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Propulsion and Power · 2004
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMechanicsCompressible flowFlow (mathematics)Square (algebra)CompressibilityMach numberParticle (ecology)CylinderPhysicsMaterials scienceGeologyEngineeringGeometryMechanical engineeringMathematics

Abstract

fetched live from OpenAlex

Results are presented from simulations of transient vortex shedding in a particle-laden compressible flow over a square cylinder. The carrier phase is computed by solving the Navier-Stokes equations directly with a Chebyshev spectral element method. The dispersed phase is solved by a Lagrangian method, tracking the particles by way of the Basset-Boussinesq-Oseen equation. The coupling between the two phases is one way, that is, the volume fraction of the particles is assumed to be small so the effect of particles on the carrier phase is neglected. The results show that the main effect of the carrier-phase compressibility is the compression of the fluid in front of the cylinder and its expansion behind the cylinder. The particle phase shows the well-known focusing effect for high particle to fluid density ratios. For a lower density ratio, forces such as the pressure drag, virtual mass, Basset history, and Saffman lift tend to increase the dispersion. Compressibility effects are noticeable at low density ratios. In such situations, a lower deposition of the particles at the front of the square and a lower capture of the particles behind the square is observed.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.379

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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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