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Numerical Simulation of Flows in Cut-Throat Flumes

2008· article· en· W2064383917 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

VenueJournal of Irrigation and Drainage Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsConcordia University
Fundersnot available
KeywordsCurvilinear coordinatesMechanicsTurbulenceFlow (mathematics)ThroatReynolds numberComputer simulationSimulationMathematicsGeometryComputer sciencePhysicsAnatomy

Abstract

fetched live from OpenAlex

A numerical simulation is presented to obtain the flow characteristics of cut-throat flumes in rectangular open channels. Cut-throat flumes with a horizontal floor are used as simple devices for flow measurement in open channels. Since the flow in the throat section is highly three dimensional and curvilinear, the three-dimensional turbulence Reynolds stress model was applied in the present study to obtain the flow parameters such as the water surface profiles, the pressure distributions, and the mean velocity distributions. The volume of fluid scheme was used to determine the shape of the free surface by computing the fraction of each near-interface cell of a fixed grid that is partially filled with water. The previously published experimental data as well as data based on a new test related to cut-throat flumes were used to validate the simulation results.

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 score0.097
Threshold uncertainty score0.324

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 head0.007
GPT teacher head0.206
Teacher spread0.198 · 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