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Record W2148381357 · doi:10.1080/1061856032000101448

A General Continuous Sensitivity Equation Formulation for the <i>k</i> - <i>ε</i> Model of Turbulence

2004· article· en· W2148381357 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

VenueInternational journal of computational fluid dynamics · 2004
Typearticle
Languageen
FieldDecision Sciences
TopicProbabilistic and Robust Engineering Design
Canadian institutionsPolytechnique Montréal
FundersAir Force Office of Scientific Research
KeywordsTurbulenceSensitivity (control systems)Turbulence modelingK-epsilon turbulence modelDomain (mathematical analysis)Range (aeronautics)Applied mathematicsFinite element methodComputer scienceComputational fluid dynamicsSoftwareFlow (mathematics)K-omega turbulence modelMathematical optimizationMathematicsMathematical analysisMechanicsPhysicsGeometryEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

In this paper, we develop a general formulation of the continuous sensitivity equations (CSEs) for the standard model of turbulence with wall functions. The development is performed for value parameters that do not affect the geometry of the computational domain. The formulation accounts for complex parameter dependencies and results in the development of software that is suitable for a wide range of problems. In addition to details of an implementation within an existing adaptive finite element program, we perform a careful verification study and present an application of sensitivity analysis to turbulent flow over a flat plate.

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)0.002
metaresearch head score (Gemma)0.002
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: Methods · Consensus signal: none
Teacher disagreement score0.793
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 head0.055
GPT teacher head0.321
Teacher spread0.266 · 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