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Record W4412048020 · doi:10.1080/14685248.2025.2524336

An implicit large-eddy simulation study of the turbulent Taylor-Couette flow with an inner rotating cylinder

2025· article· en· W4412048020 on OpenAlex
Laura Prieto Saavedra, Peter Münch, Bruno Blais

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

VenueJournal of Turbulence · 2025
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTaylor–Couette flowTurbulenceMechanicsLarge eddy simulationCylinderTaylor numberFlow (mathematics)PhysicsCouette flowClassical mechanicsReynolds numberMathematicsGeometry

Abstract

fetched live from OpenAlex

The Taylor-Couette flow case is a turbulent benchmark that assesses the capability of numerical methods to simulate problems with curved boundaries and boundary layers. In this study, we consider the case with a rotating inner cylinder and a stationary outer cylinder at a Reynolds number Re=4000. This allows us to assess the accuracy of our continuous Galerkin finite element solver, which uses an implicit Large-Eddy Simulation (LES) approach and SUPG/PSPG stabilisation techniques. We perform numerical experiments using different polynomial orders p = 1, 2, 3 with up to 6M cells and 716M degrees of freedom. We compare enstrophy and kinetic energy profiles, along with vorticity and Q criterion distributions. Moreover, we compute the numerical dissipation of the implicit LES approach using the energy equation. The results show that the prediction of enstrophy is more accurate with increasing order p and refinement of the mesh. The energy balance analysis allows us to show that high-order elements can obtain less numerical dissipation with a lower number of degrees of freedom and with fewer computational resources. The work raises the question of what is an acceptable amount of numerical dissipation and provides valuable data for future users of this benchmark.

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 score0.031
Threshold uncertainty score0.591

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 science0.0010.000
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 head0.007
GPT teacher head0.247
Teacher spread0.241 · 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