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Record W4408802243 · doi:10.23977/jemm.2025.100103

Effect of the fluid velocity change on the linear stability of plane Poiseille flow

2025· article· en· W4408802243 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Engineering Mechanics and Machinery · 2025
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsMechanicsPlane (geometry)Stability (learning theory)Flow (mathematics)Flow velocityMaterials scienceMathematicsPhysicsGeometryComputer science

Abstract

fetched live from OpenAlex

The numerical simulation has been done for the linear stability of plane Poiseille flow by varying the fluid velocity in the local flowing field. The analysis of the results showed that the influence of varying the fluid velocity on the linear stability bears some common characteristics. The relation curves between the unstable zone area encircled by the neutral curves and the different normal coordinates can be divided into four different functional regions, the approximately unchanged region of neutral curves, the region trending to stability, the region trending to instability, the obscure region trending to stability or instability. The susceptible region of stability change is made of the region trending to stability and the region trending to instability or unstable region. But that in which form the flowing field changes the unstable zone area encircled by the neutral curves depends on the forms of velocity changes. This study result will provide a fine platform for both the experimental study of the hydrodynamic stability and the further improvement of the coalescence theory.

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)0.001
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: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.191
Teacher spread0.185 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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