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Record W1973544039 · doi:10.1080/00221680903566026

Experimental study of energy loss through submerged trashracks

2010· article· en· W1973544039 on OpenAlexafffund
Shawn P. Clark, Jonathan M. Tsikata, Melissa Haresign

Bibliographic record

VenueJournal of Hydraulic Research · 2010
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsUniversity of Manitoba
FundersFisheries and Oceans CanadaManitoba Hydro
KeywordsBar (unit)MechanicsHead (geology)Flow (mathematics)Current (fluid)Oblique caseRange (aeronautics)GeologyHydraulic headMaterials scienceGeometryGeotechnical engineeringPhysicsMathematicsGeomorphologyComposite material

Abstract

fetched live from OpenAlex

Experimental results for several trashrack models placed in a pressurized rectangular conduit are presented. The tests were performed for both straight and oblique approach flows. Trashrack models of different bar cross-sectional shapes, bar thicknesses, bar depths and bar spacing were studied for a range of velocities. The results indicate that the head loss across the trashrack increases with increasing approach velocity, flow inclination, and blockage ratio. Lower head losses were observed for bars with cross-sectional shape other than rectangular. Results were found to differ only moderately from the previous trashrack energy loss literature based almost entirely on open channel flow experiments. An equation has been developed that well represents the current experimental findings.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.346
Teacher spread0.312 · 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 designBench or experimental
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

Citations40
Published2010
Admission routes2
Has abstractyes

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