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Record W4399884839 · doi:10.1115/1.4065792

Investigation of Fluidelastic Instability in Parallel Triangular Tube Arrays Subjected to Air Flow

2024· article· en· W4399884839 on OpenAlexafffund
Amro Elhelaly, Marwan Hassan, David Weaver, Jovica Riznic, Soha Eid Moussa

Bibliographic record

VenueJournal of Pressure Vessel Technology · 2024
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsCanadian Nuclear Safety CommissionMcMaster UniversityUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Nuclear Safety Commission
KeywordsInstabilityTube (container)MechanicsFlow (mathematics)Materials scienceGeologyPhysicsComposite material

Abstract

fetched live from OpenAlex

Abstract One of the major considerations in the design and operation of heat exchangers is the flow-induced vibration (FIV). While there are multiple FIV excitation mechanisms, fluidelastic instability (FEI) is by far the most crucial mechanism as it can significantly compromise the structural integrity of the tube arrays. Traditionally, it was assumed that FEI could only happen in the transverse direction. However, recent tube failures in replacement steam generators have demonstrated that FEI can occur in the streamwise direction and be equally devastating. This new phenomenon has sparked intensive research to uncover its nature. An intensive experimental research program was launched to investigate the geometrical impact of various tube array types on the FEI in both the transverse and streamwise directions. To that end, the stability of a single flexible tube and multiple flexible tubes in tube arrays was tested. The study will focus on the stability behavior of parallel triangular arrays at pitch ratios in the range of 1.25–1.70. A comparison between the available experimental data and the current results was presented. The current results reveal that the stability threshold is sensitive to the pitch-to-diameter ratio of the array and the number of flexible tubes, especially in the streamwise direction.

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 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 score0.273
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.008
GPT teacher head0.219
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.

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

Citations7
Published2024
Admission routes2
Has abstractyes

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