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Record W2324350183 · doi:10.1002/cjce.22485

Experimental evaluation of bed friction and solids transport in steep flume

2016· article· en· W2324350183 on OpenAlexvenueno aff
Václav Matoušek, Vojtěch Bareš, Jan Krupička, Tomáš Picek, Štěpán Zrostlík

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
FundersGrantová Agentura České Republiky
KeywordsFlumeGeotechnical engineeringOpen-channel flowMechanicsShear velocitySlurryBedformGeologyShear stressSediment transportShear (geology)Flow (mathematics)Materials scienceSedimentTurbulenceComposite materialGeomorphology

Abstract

fetched live from OpenAlex

Abstract Experimental data on bed friction and solids transport in an open‐channel flow at high bed shear are presented in this paper together with a discussion using analytical developments. Experiments were carried out using plastic particles transported in water above an erodible bed in a tilting flume. They confirmed that bed friction is affected by transport of solids for large bed shear stresses in the upper plane bed regime. Similarities in flow conditions were also observed between open‐channel flows in steep slopes with intense solids transport, and stratified flows in slurry pipes. Furthermore, the experiments revealed two different sub‐regimes for the upper plane bed regime in open channels. Formulae for the friction coefficient and the solids flowrate were proposed for an erodible bed with a developed shear layer. Measured velocity distribution indicated a linear velocity profile across a major part of the shear layer.

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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.010
GPT teacher head0.203
Teacher spread0.193 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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