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Record W200895850

Modélisation de l'instabilité fluidélastique d'un faisceau de tubes soumis à un écoulement disphasique transverse

2012· article· fr· W200895850 on OpenAlexaboutno aff
Téguewindé Sawadogo

Bibliographic record

VenuePhDT · 2012
Typearticle
Languagefr
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

RESUME: Cette etude porte sur la modelisation de l’instabilite fluidelastique induite par les ecoulements diphasiques dans les faisceaux de tubes. La problematique se pose au sein des faisceaux de tubes des generateurs de vapeur des centrales nucleaires qui comportent des milliers de tubes assurant l’echange d’energie entre le reacteur et les turbines qui produisent l’electricite. Ces tubes sont immerges dans un ecoulement diphasique constitue d’un melange eau-vapeur. A la suite de cette immersion, les tubes sont soumis a des excitations induites par l’ecoulement diphasique. Les mecanismes d’excitations ont ete identifies comme etant : les forces de turbulence, les forces resultant des tourbillons alternees, les forces liees a la resonance acoustique, les forces quasi-periodiques et enfin les forces fluidelastiques. Les forces fluidelastiques sont differentes par nature des autres mecanismes d’excitation car elles sont couplees au mouvement de la structure. De plus, lorsque la vitesse de l’ecoulement devient suffisamment grande, et dependant de la frequence du tube, de la configuration du faisceau, et de l’effectivite des supports, les forces fluidelastiques peuvent croitre avec le mouvement de la structure, provoquant ainsi une instabilite appelee instabilite fluidelastique. L’amplitude des vibrations augmente alors rapidement, pouvant ainsi conduire a l’endommagement des tubes par fatigue ou leur usure par frottement. En l’etat actuel des connaissances, la duree de vie des tubes est predite par calcul de puissances d’usure. Ce calcul est effectue en simulant la reponse du tube aux forces d’excitation et en extrayant les forces de contact et les deplacements au niveau des supports. Comme les forces fluidelastiques constituent le mecanisme le plus severe, leur modelisation physique est necessaire. Le modele le plus utilise actuellement est le modele quasi-statique de Connors mais ce modele est connu pour sous-estimer la vitesse critique d’instabilite en plus de presenter peu de sens physique. Plusieurs autres modeles theoriques existent mais tous ont ete developpes pour des ecoulements monophasiques alors que les faisceaux de tube des generateurs de vapeurs operent au sein d’ecoulements diphasiques. L’objectif principal de ce projet de recherche est donc d’etendre les modeles d’etudes de l’instabilite fluidelastique aux ecoulements diphasiques, de les valider, puis de developper un code de simulation des vibrations induites par les ecoulements diphasiques au sein des faisceaux de tubes. Le modele quasi-stationnaire a fait l’objet d’une investigation etendue au cours de ce projet.----------ABSTRACT: This study focuses on the modeling of fluidelastic instability induced by two-phase cross-flow in tube bundles of steam generators. The steam generators in CANDU type nuclear power plants for e.g., designed in Canada by AECL and exploited worldwide, have thousands of tubes assembled in bundles that ensure the heat exchange between the internal circuit of heated heavy water coming from the reactor core and the external circuit of light water evaporated and directed toward the turbines. As a result of their immersion in the two-phase flow, the tubes in the bundle are subjected to flow induced vibration, mostly in the upper U-bend region. The fluid excitation mechanisms have been identified as: turbulent buffeting, vortex shedding, acoustic resonance, quasi-periodic forces and fluidelastic forces. The fluidelastic forces are different in nature from the other types of excitation mechanisms because they are motion dependent. At sufficiently high velocities, and depending on the tube frequency, the tube bundle configuration and the support effectiveness, the forces may increase with the structure motion, resulting in an instability known as fluidelastic instability. As a consequence, the vibration magnitude increases rapidly and this can lead to tube damage by fatigue or fretting wear. In the current state of the art, the lifetime of the tubes is predicted using wear rate calculations. These computations are done by simulating the tube vibratory response to the fluid force excitations. Since the fluidelastic forces are the most severe type of flow-induced excitation, a correct fluidelastic model is needed to obtain accurate results. The currently used model, i.e. the Connors model is known to be very conservative. Besides, it gives no physical insight into the issue of fluidelastic instability. Several other models have been developed by researchers but all of these models were developed for single phase flow whereas tube bundles in steam generators operate mostly in two-phase flow. The main objective of this research project is to extend the theoretical models for fluidelastic instability to two-phase flow, validate the models and develop a computer program for simulating flow induced vibrations in tube bundles. The quasi-steady model has been investigated in scope of this research project. The time delay between the structure motion and the fluid forces generated thereby has been extensively studied in two-phase flow.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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 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

Citations2
Published2012
Admission routes1
Has abstractyes

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