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Record W2579960420 · doi:10.1109/synasc.2016.030

Numerical Results for the Coupling of a Simple Neutronics Diffusion Model and a Simple Hydrodynamics Low Mach Number Model without Coupling Codes

2016· article· en· W2579960420 on OpenAlexaff
Stéphane Dellacherie, Erell Jamelot, Olivier Lafitte, Riyaz Mouhamad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNuclear reactor physics and engineering
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsInterpolation (computer graphics)Neutron transportCoupling (piping)DiffusionDiffusion equationSimple (philosophy)Mathematical analysisMach numberProjection (relational algebra)Analytic element methodMathematicsApplied mathematicsPhysicsFinite element methodClassical mechanicsMechanicsNeutronMetric (unit)Quantum mechanicsAlgorithm

Abstract

fetched live from OpenAlex

We obtain an analytic solution of a monodimensionalstationary system coupling two simplified models, one solving the thermohydraulic equations, the other onesolving the neutronic diffusion equation with one energygroup (characterized by the diffusion coefficient, the absorptionand the fission cross sections which are assumed to dependonly on temperature). This analytic solution relies on theconstruction of two auxiliary functions. Realistic values of thecross sections (given at some values of the temperature) yield, by interpolation, approximate expressions for the cross sections. Projection of these functions on a 2d space using finite elementmethod leads to a approximate simplified ODE, from whichone deduces an approximation of the analytic solution usingincomplete Jacobi elliptic integrals.

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.

How this classification was reachedexpand

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 score0.476
Threshold uncertainty score0.535

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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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