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Record W2334165163 · doi:10.2514/6.2011-3401

Numerical Prediction of Three-Dimensional Non-Equilibrium Gaseous Flows Using the Gaussian Moment Closure

2011· article· en· W2334165163 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

Venue20th AIAA Computational Fluid Dynamics Conference · 2011
Typearticle
Languageen
FieldMathematics
TopicGas Dynamics and Kinetic Theory
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsClosure (psychology)Moment (physics)Moment closureGaussianMechanicsStatistical physicsComputer scienceApplied mathematicsPhysicsMathematicsClassical mechanicsTurbulence

Abstract

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A parallel, implicit, adaptive mesh re nement (AMR), upwind, nite-volume scheme is described for the solution of the 10-moment Gaussian closure and the combined hyperbolic modelling treatment / numerical method is applied to the prediction of three-dimensional, non-equilibrium, micro-scale, gaseous ows. The Gaussian moment equations are based on a maximum-entropy closure applied to the Boltzmann equation and provides a fullyrealisable and strictly hyperbolic description of non-equilibrium gaseous ows that is valid from the near-equilibrium or continuum limit, through the transition regime, up to the near-collisionless or free-molecular ow limit. Although this somewhat simpli ed mathematical model does not incorporate the e ects of heat transfer, it has been shown to accurately describe non-equilibrium momentum transport for a range of micro-scale ows and is very representative of other higher-order closures that would potentially include the e ects of non-equilibrium thermal transport. The hyperbolic moment equations are readily amenable to solutions using a Godunov-type, upwind, nite-volume scheme on an AMR mesh. The proposed upwind scheme makes use of Riemann-solver-based ux functions and limited linear reconstruction to provide accurate and monotonic solutions, even in the presence of large solution gradients and/or under-resolved solution content on threedimensional, multi-block, bodytted, hexahedral mesh. A block-based AMR strategy is adopted herein to allow for local re nement of the computational mesh. A rather e ective and scalable parallel implicit time-marching scheme based on a Jacobian-free inexact Newton-Krylov-Schwarz (NKS) approach with additive Schwarz preconditioning and domain partitioning following from the multi-block AMR mesh is used for the solution of the non-linear ordinary-di erential equations that result from the application of the upwind spatial discretisation procedure. Details are given of the Gaussian closure, along with suitable extensions for diatomic gases and slipow boundaries, and the proposed nite-volume method. Numerical results for several canonical ow problems demonstrate the potential of hyperbolic moment closures, combined with an e cient parallel solution method, for accurately predicting fully three-dimensional non-equilibrium gaseous ow behaviour.

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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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.919

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 head0.047
GPT teacher head0.261
Teacher spread0.214 · 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