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Record W4411216497 · doi:10.37394/232012.2025.20.4

Brinkman’s and Generalized Brinkman’s Equations and Associated Viscosities

2025· article· en· W4411216497 on OpenAlexaff
M. H. Hamdan, M. S. Abu Zaytoon

Bibliographic record

VenueWSEAS TRANSACTIONS ON HEAT AND MASS TRANSFER · 2025
Typearticle
Languageen
FieldEngineering
TopicHeat and Mass Transfer in Porous Media
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsBrinkman numberMathematicsApplied mathematicsPhysicsThermodynamics

Abstract

fetched live from OpenAlex

Under Poiseuelle flow, the effective viscosity associated with Brinkman’s equation is investigated and quantified for a high-porosity porous layer whose geometric factors are given by Ergun’s equation and the Kozney-Carmen equation. An expression for the relative viscosity is derived and expressed in terms of the geometric factors. Viscous and Darcy flow limits are quantified in terms of the relative viscosity and the geometric factors. This work also initiates investigations of the effective viscosity when the Brinkman flow is through a variable permeability porous layer and when the governing equation is the generalized Brinkman equation. When permeability is variable, it is shown that the relative viscosity is always less than unity when the Brinkman pressure gradient is the same as the corresponding Navier-Stokes pressure gradient. A condition on the pressure gradients under which the relative viscosity is greater than unity is derived. When the flow is governed by the generalized Brinkman’s equation, the problem of quantifying the effective viscosity is replaced by that of determining variations in viscosity due to pressure, and variations in pressure due to changes in the porous medium parameters.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.685
Threshold uncertainty score1.000

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 head0.010
GPT teacher head0.222
Teacher spread0.211 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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