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Record W3130072063 · doi:10.1080/09715010.2021.1885508

Experimental analysis of multi-horizontal submerged jets energy dissipater

2021· article· en· W3130072063 on OpenAlexaff
Mehrdad Moradi, Seyed Mohsen Sajjadi, Ram Balachandar, Ali Arman, Adrian Ilinca

Bibliographic record

VenueISH Journal of Hydraulic Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsUniversity of WindsorUniversité du Québec à Rimouski
FundersShahid Chamran University of Ahvaz
KeywordsTurbulenceReynolds stressTurbulence kinetic energyShear stressMechanicsGeologyReynolds numberVortexGeotechnical engineeringDissipationVorticityJet (fluid)Hydraulic jumpFlow (mathematics)Physics

Abstract

fetched live from OpenAlex

The use of a stilling basin with multiple horizontal submerged jets emerging from two layers has been suggested for use as an energy dissipation structure in hydropower stations. In this study, laboratory velocity measurement is performed to analyze the three-dimensional flow structure of submerged jets and to evaluate the effect of the downstream submergence on the flow field. The results indicate that the Reynolds shear stress and vorticity magnitudes increase with increasing jet submergence. Further, it was found that submergence increase leads to a decrease of 2.2% in maximum bed (floor) shear stress and 7.2% in side-walls shear stress. The Reynolds shear stress quadrant decomposition is also performed for all (H = 0) and high magnitude (H = 2) bursting events, which indicate that the turbulence events of outward and inward interactions made dominant contributions to the total Reynolds stress. Turbulent kinetic energy is also analysed to obtain a better characterization of the flow field.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.217
Teacher spread0.209 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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