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Enregistrement W1990538649 · doi:10.1139/l08-142

Reply to discussion by A.N. Pinheiro and J.F. Melo on “Effect of jet aeration on hydrodynamic forces on plunge pool floors”Appears in the Canadian Journal of Civil Engineering, 35(5): 521-530.

2009· article· en· W1990538649 sur OpenAlexvenueaboutno aff
António N. Pinheiro, José F. Melo

Notice bibliographique

RevueCanadian Journal of Civil Engineering · 2009
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic flow and structures
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésJet (fluid)EngineeringMechanical engineeringMechanicsPhysics

Résumé

récupéré en direct d'OpenAlex

The Authors would like to express their appreciation for all the research work developed by the discussers and by the interest and attention that they paid to the paper. Before addressing the interesting aspects raised by the Discussers, one clarification must be made. They refer that the Authors ‘‘obtained air concentrations close to the stagnation point of the developed jet at the pool floor of max. 30%’’, whereas, in fact, this value refers to the concentration C0 at the entrance section (impinging section) of the jet into the pool. No air concentration measurements were made close to the pool bottom. Nevertheless, the visual observations of the jet showed quite clearly that the air bubbles were much sparser close to bottom, as expected. The air concentration would certainly present values significantly lower than at the impinging section. When designing the facility, the Authors considered usual prototype dimensions and the Froude similarity law to establish its basic characteristics (pool depths, jet thicknesses, and jet velocities) and, in doing so, they were aware of the scale effects concerning air compressibility, bubbles size, penetration depth, rising velocities, and their obvious influence in the magnitude of air concentration near the bottom. The work developed by Manso (2006) and Manso et al. (2006), measuring the effect of jet velocity in the air concentration at the jet stagnation point and the wall jet region, is a significant contribution to enlarge our understanding of this phenomena and of the hydrodynamic pressures due to jet propagation in rock joints and fissures. However, the Authors’ interpretation of the air effect in the air–water jet diffusion is that, due to the presence of air along the penetrating path of the plunging jet, a stronger slowing down effect in the stream is felt comparing to the one observed in an equivalent water jet. Even if any of the initially entrained air does not reach the pool floor, there is velocity attenuation due to the presence of air bubbles. Other aspects that also support the higher energy dissipation in air–water jets comparatively to water jets are the higher turbulence intensities as well as the wider diffusion angles (Melo 2001). The results presented by the Discussers are based on jet velocities of absolute magnitude that are, no doubt, comparable to the ones observed in prototype spillways and outlets (6 to 25 m/s). The same does not apply to the tested water cushions depths (0.20 to 0.67 m) and jet diameter (0.07 m), which are typical of those used in laboratory experiments. In fact, prototype jet dimensions for the velocities tested by the Discussers would be of the order of 1 to 3 m thick and prototype water cushion depths would frequently be above 10 m. So, the work developed by the Discussers focused on the influence of the jet velocity, but in doing so, they had also to neglect other aspects as the ones mentioned above, thus implying scale effects existence. To evaluate how influent all the scale effects are, prototype measurements are clearly required. The technical difficulties and the inherent costs did not allow having such measurements until now. More difficult seems to be the study of the influence of air entrainment in the pressure field underneath the concrete slabs, because of the simulation of slabs draining system, if it exists, or of the more or less continuous joint systems existing between the slabs and the foundation. However, in previous research developed in the same facility, Melo (2001) and Melo et al. (2006) showed that when a continuous draining system exists for slabs separated by open joints or by closed joints with a joint failure underneath the stagnation line (for a rectangular jet), the influence of pressure fluctuation underneath the slabs is negligible, either for experiments with or without artificial jet aeration, where the pressure mean values are the ones to be considered in the slabs stability analysis. Once more, scale effects due to air– water flow were unavoidable, but no significant pressure fluctuations were noticed despite the presence of air bubbles inside the joint system or underneath the slabs.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,438
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,003
Tête enseignante GPT0,179
Écart entre enseignants0,176 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2009
Routes d'admission2
Résumé présentoui

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