MétaCan
Menu
Back to cohort
Record W4414953856 · doi:10.1115/pvp2025-154432

Streamwise Fluidelastic Instability in Rotated Square Array With Loose Supports

2025· article· en· W4414953856 on OpenAlexaffabout
Amro Elhelaly, Joaquín Morán, David Dawson, Marwan Hassan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsInstabilitySquare (algebra)Tube (container)Flow (mathematics)InflowHeat exchangerVibrationRanging

Abstract

fetched live from OpenAlex

Abstract The potential for fluidelastic instability (FEI), a form of flow-induced vibrations, to cause failure in steam generator tubes has long been recognized. Most research focusing on transverse vibration as the instability critical direction. However, more recent studies and operational incidents, such as the failure of the San Onofre Nuclear Generating Station, have brought attention to the risks due to the possibility of streamwise instability (SFEI), where the instability occurs parallel to the flow direction. This is especially true for U-bend tube bundles with flat-bar supports, where the tubes can vibrate in the inflow direction. In response to the need to better understand these mechanisms and improve operational safety, a research program was initiated at the University of Guelph to study the interaction behavior between tubes and supports in heat exchanger tube arrays. This paper presents an investigation conducted on a rotated square array subjected to single-phase air cross-flow, with pitch ratios ranging from 1.25 to 1.7. Additionally, three different tube/support radial clearance values (0.3, 0.5, and 0.7 mm) were tested to capture the nonlinear dynamic behavior of the loosely supported array. The results were compared with experimental data from existing literature. The findings show that the fluidelastic instability (FEI) threshold is sensitive to the clearance values for the range studied.

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: none
Teacher disagreement score0.538
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.198
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 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 routes2
Has abstractyes

Explore more

Same topicVibration and Dynamic AnalysisFrench-language works237,207