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Record W2991300945 · doi:10.1115/pvp2019-93986

On Design and Analysis of Fastener Locking Tabs in Highly Chaotic Flow of Primary Side of Steam Generator

2019· article· en· W2991300945 on OpenAlexaff
R. Ghafouri-Azar, Mike Stojakovic

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsOntario Power Generation
Fundersnot available
KeywordsFastenerBoiler (water heating)EngineeringFinite element methodStructural engineeringMechanical engineeringVibrationFlow (mathematics)Design elements and principlesVortex-induced vibrationPipingMechanics

Abstract

fetched live from OpenAlex

Abstract The primary side of steam generators has a divider plate which separates the heavy water entrance and exit of flow when entering in and out of the U-tubes of tubesheet. The divider plate has a series of plates which are connected by bolting. The bolted connections have positive locking device which prevents the connection from loosening in the highly vibrating turbulent flow conditions. These positive locking devices were failed by breaking into pieces at different occasions and a few cycle of design were completed to address this design failures. In the latest design modification a new design was proposed. The new design was applied to many steam generators. It has proven to be robust with respect to durability, strength and ease of installation. The new design has reduced outage time and activities. It is also reduces radiation exposure while improving conventional safety. The paper describes the design processes and addresses key design and analysis parameters. A Finite Element model was developed to facilitate assessment design calculation. Structural integrity of the newly design part was assessed against ASME Boiler and Pressure Vessel codes. A flow-induced vibration was completed to address fluid-structure interactions.

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 score0.249
Threshold uncertainty score0.290

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)0.0000.000

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 head0.007
GPT teacher head0.180
Teacher spread0.173 · 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
Published2019
Admission routes1
Has abstractyes

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