MétaCan
Menu
Back to cohort
Record W2052987471 · doi:10.1177/003754970007400201

Silt Erosion in Hydraulic Turbines: The Need for Real-Time Numerical Simulations

2000· article· en· W2052987471 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

VenueSIMULATION · 2000
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsGeneral Electric (Canada)Université de Montréal
Fundersnot available
KeywordsComputer simulationTurbulenceGraphicsVector fieldNonlinear systemSiltKinetic energyWork (physics)MechanicsField (mathematics)ErosionComputer scienceGeologySimulationPhysicsClassical mechanicsEngineeringMechanical engineeringMathematicsComputer graphics (images)

Abstract

fetched live from OpenAlex

Direct numerical simulations of quartz particles, given a turbulent stationary velocity field, are per formed in "real time" on a Silicon Graphics work station. Interaction of the surrounding flozu on spherical particles is taken into account by a modi fied version of the Basset-Boussinesq-Oseen equa tion, including nonlinear resistance. Boundary con ditions (walls) are modeled with the use of reflection laws. Interactions between particles are neglected. The velocity field has been pre-computed with the k—∈ model over different geometries. Second-order accuracy numerical implementation and error esti mation are discussed. Impacts on s urfaces are ac counted for by means of direction and kinetic energy of incident particles. The areas with the highest probability of damage are then mapped. Real-time high-quality interactive graphics are an important aspect of this useful numerical tool.

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 score0.011
Threshold uncertainty score0.415

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 head0.012
GPT teacher head0.259
Teacher spread0.247 · 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