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Record W2326390883 · doi:10.7227/ijmee.39.2.4

Stagnation Pressure, the Bernoulli Equation, and the Steady-Flow Energy Equation

2011· article· en· W2326390883 on OpenAlexaff
Ali Vakil, Sheldon Green

Bibliographic record

VenueInternational Journal of Mechanical Engineering Education · 2011
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInviscid flowBernoulli's principleStagnation pointStagnation pressureMechanicsStagnation temperatureEnergy–depth relationship in a rectangular channelPhysicsReynolds numberPotential flow around a circular cylinderFlow (mathematics)ThermodynamicsClassical mechanicsChézy formulaOpen-channel flowTurbulenceHeat transferMach number

Abstract

fetched live from OpenAlex

The Bernoulli equation is arguably the most commonly used equation in fluid mechanics. For the incompressible, inviscid flow along a streamline, the Bernoulli equation states that the total head of the fluid (the sum of the pressure head, velocity head, and elevation head) is constant. Neglecting elevation changes, the Bernoulli equation therefore limits the maximum pressure coefficient in a flow to 1, which occurs at stagnation points in the flow. Normally, the action of viscosity causes the total head in a fluid to decrease in the streamwise direction, which means the stagnation-point pressure coefficient is less than 1. However, at low to moderate Reynolds numbers, where viscous forces are most significant, stagnation-point pressures exceed 1. This counterintuitive result is explained by reference to the shear work term in the steady-flow energy equation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.013
GPT teacher head0.208
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2011
Admission routes1
Has abstractyes

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