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Record W6987306782

Smooth and Rough Wall Open Channel Flow Including Effects of Seepage and Ice Cover

2009· dissertation· en· W6987306782 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.

fundA Canadian funder is recorded on the work.
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

VenueScholarship at UWindsor (University of Windsor) · 2009
Typedissertation
Languageen
FieldArts and Humanities
TopicTechnology, Environment, Urban Planning
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Windsor
KeywordsHydraulic roughnessFlow (mathematics)FlumeSurface finishTurbulence
DOInot available

Abstract

fetched live from OpenAlex

A comprehensive study was carried out to understand the effects of roughness, seepage and ice cover on the turbulence characteristics of flow in an open channel. To this end, tests were conducted with four different types of bed surface conditions. This includes the use of an impermeable smooth bed, impermeable rough bed, permeable sand bed and an impermeable bed with distributed roughness. Both suction and injection seepage tests were conducted covering a range of seepage rates. For the ice cover tests, two different cover conditions were used. The tests were conducted at two different Reynolds number (Re = 47,500 and 31,000). The bed roughness effect on the turbulence characteristics is seen to have penetrated through most of the flow depth, disputing the wall similarity hypothesis initially proposed by Townsend (1976). The results show that the distributed roughness shows the greatest roughness effect. Although the same sand grain is used to create the different rough bed conditions, there are differences in turbulence characteristics, which is an indication that specific geometry of the roughness has an influence. Roughness increases the contribution of the extreme turbulent events which produces very large instantaneous Reynolds shear stress and can potentially influence the sediment transport, resuspension of pollutant from the bed and alter the nutrient composition, which eventually affects the sustainability of benthic organisms. For the tests with seepage, injection increases the magnitude of the various turbulent characteristics and suction reduces the values in comparison to no-seepage condition. Effect of seepage on different turbulent characteristics is not restricted to the near-bed region but can be seen through out the flow depth. The results from the analysis of turbulent bursting events clearly show a distinct effect of seepage well beyond the near-bed region. The introduction of ice cover causes a change in mean velocity profile and increases total resistance of the channel. The magnitude of this change depends on both the bed and the cover roughness. The change in turbulent characteristics seems to be bound to the upper half of the flow and the changes can be significant with the rougher cover.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.024
GPT teacher head0.224
Teacher spread0.199 · 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