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Record W2313958897 · doi:10.1139/cjce-2012-0019

Effect of triangular corrugated beds on the hydraulic jump characteristics

2013· article· en· W2313958897 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsnot available
Fundersnot available
KeywordsFroude numberHydraulic jumpFlumeJumpTailwaterGeotechnical engineeringMechanicsGeologyMaterials scienceFlow (mathematics)Physics

Abstract

fetched live from OpenAlex

In this study, the hydraulic jump characteristics were studied experimentally over six triangular corrugated beds in a rectangular cross section flume. A total number of 42 tests were carried out for Froude numbers 6.1 to 13.1 in low stage of jump. In all tests, the main characteristics of hydraulic jump were measured. The results showed that the corrugated bed caused the conjugate depths of the jump and the hydraulic jump length to be reduced by 25% and 54.7%, respectively, compared to those of smooth bed. The obtained shear stress coefficient for corrugated bed is about 8.5 times of that for smooth bed. The effect of the relative corrugation heights on the jump characteristics was not found to be significant. Finally, results obtained from this study showed that the effect of the shape was almost insignificant. Furthermore, no specific corrugated sheet could be chosen to simultaneously reduce the tailwater depth and the jump length.

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 score0.193
Threshold uncertainty score0.554

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 head0.003
GPT teacher head0.162
Teacher spread0.159 · 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