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Record W4323047963 · doi:10.18280/mmep.100139

An Experimental Investigation of Energy Dissipation for Stepped Spillways with Different Flow Conditions

2023· article· en· W4323047963 on OpenAlexvenueno aff
Hajer Hussein Albank, Saleh I. Khassaf

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2023
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsnot available
Fundersnot available
KeywordsDissipationMechanicsFlow (mathematics)Environmental scienceEnergy (signal processing)Materials sciencePhysicsThermodynamicsMathematicsStatistics

Abstract

fetched live from OpenAlex

The stepped spillway is the most effective hydraulic structure for dissipating energy downstream of the spillway crest.This paper investigates the energy dissipation rate on physical models of traditional steps at downstream angles (25˚, 35 , 45 ) in which each angle was modelled with two different heights of steps (45, and 90 mm).Experimentation has been done for plain steps, and steps with end sill steps of a thickness of 15 mm.The results, which are supported by dimensional considerations, show that the critical depth of flow passing over the spillway to the step height yc/h, the number of steps N, and the slope of the stepped spillway are the parameters that affect energy dissipation.The results show also that the relative energy loss on pooling steps dissipates more energy than on flat steps by about 4.6%.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.505
Threshold uncertainty score0.435

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 head0.019
GPT teacher head0.217
Teacher spread0.198 · 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 designSimulation or modeling
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

Citations2
Published2023
Admission routes1
Has abstractyes

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