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 OpenAlexaff
Stephen Y. Bergeron, T. C. Vu, Alain Vincent

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations6
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueSIMULATIONSame topicParticle Dynamics in Fluid FlowsFrench-language works237,207