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Record W3195554868 · doi:10.1680/jwama.20.00109

Scouring of sand beds by short impinging turbulent jets

2021· article· en· W3195554868 on OpenAlexaff
Mahmud Rashedul Amin, N. Rajaratnam, David Z. Zhu

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Water Management · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDimensionless quantityJet (fluid)TurbulenceMechanicsErosionGeometryAngle of reposeGeologyGeotechnical engineeringPhysicsMathematicsGeomorphology

Abstract

fetched live from OpenAlex

Laboratory experiments were carried out to study the scouring of sand beds by vertically impinging submerged circular turbulent water jets with short impinging height of 5.5 times the jet diameter. Measurements of the profiles of the static scour hole at different times were made along with the dynamic scour depths using a novel experimental arrangement. It was found that the asymptotic characteristic lengths of the scour hole can be predicted using the erosion parameter, E c , of short impinging jet experiments. The ratio of the dynamic to static scour depths in asymptotic state varies between 2.1 and 4.3, for E c ranges between 3 and 28. Semi-empirical prediction equations are developed for the asymptotic lengths and empirical equations are developed for the temporal development of the characteristic lengths. These equations show good correlations, with the coefficient of correlation (R 2 ) varying beween 0.83 and 0.98. The shape of the dimensionless asymptotic scour hole is found to be different for short and long impinging jets. A general equation for its shape is developed considering the shape as a function of the submerged angle of repose of the bed material.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.392

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 head0.005
GPT teacher head0.186
Teacher spread0.180 · 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 teacher head, 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

Citations13
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Institution of Civil Engineers - Water ManagementSame topicHydrology and Sediment Transport ProcessesFrench-language works237,207