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Record W4408139049 · doi:10.1080/10618562.2025.2469498

On the Invalidity of the Extended Navier-Stokes Equations to Compute Rarefied Gas Flows in a Cylinder Array

2024· article· en· W4408139049 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational journal of computational fluid dynamics · 2024
Typearticle
Languageen
FieldEngineering
TopicLattice Boltzmann Simulation Studies
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCylinderNavier–Stokes equationsPhysicsMechanicsClassical mechanicsMathematicsMathematical analysisCompressibilityGeometry

Abstract

fetched live from OpenAlex

Computing rarefied gas flow fields through porous media with the Boltzmann equation is computationally prohibitive for industrial use. To reduce computational cost, extensions of the Navier-Stokes equations with phenomenological slip boundary conditions have been proposed. Models relying on a hypothesis of proportionality between the effective mean free path and the effective viscosity were previously validated for unidimensional planar and concentric geometries, but lacked verification for intermediate complexity cases like a bidimensional flow through a cylinder array. This article proposes using a lattice Boltzmann method, with the effective mean free path calculated via a verified ray-tracing algorithm. Although excellent agreement with experimental data was found for slit flow, quantitative agreement was not achieved for flow through a cylinder array, despite model convergence at a sublinear order (∼0.52). The study discusses the limitations of the extended Navier-Stokes model, concluding that it is unsuitable for rarefied gas flows with transverse components.

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)0.001
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 score0.454
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.022
GPT teacher head0.285
Teacher spread0.263 · 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