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Record W2024055610 · doi:10.1115/imece2013-65838

Front Wave Prediction in Water Hammer Phenomena Involving Two-Phase Flows

2013· article· en· W2024055610 on OpenAlexaff
Alina Bogoi, Jean Marie Seynhaeve, Radu D. Rugescu, Oliviu Şugar Gabor, Michel Giot

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsWater hammerMechanicsMomentum (technical analysis)Computational fluid dynamicsTwo-phase flowTwo-fluid modelWork (physics)Conservation lawFlow (mathematics)PhysicsThermodynamicsMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

A genuine mathematical model for one dimensional, unsteady, two phase (liquid-gas) flows is presented that intends to solve the complex problem of two phase behavior of fluids. The mechanism of the model describes the fluid flow characteristics of the mixture, supposing that the conditions for homogeneous vaporization are fulfilled and the condensate fraction of the composite fluid keeps constant. In particular, the equation of momentum conservation for the gas phase is derived from the Voinov equation. For its domain of validity (bubbly flows), the model is of hyperbolic type and can be written in the conservative form. The numerical results obtained for the water hammer phenomena show that the present work is able to supply accurate results, at least of the same degree of confidence as the results provided by an ordinary, commercial CFD code, still with a considerable reduction in computational time.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.999

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)0.0020.001

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 head0.186
Teacher spread0.175 · 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.

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

Citations1
Published2013
Admission routes1
Has abstractyes

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