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Record W2013711254 · doi:10.1115/pvp2003-1870

The Design of Flanges Based on Flexibility and Tightness

2003· article· en· W2013711254 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Structural Analysis Methods
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsGasketFlangeFinite element methodCreepStructural engineeringFlexibility (engineering)Leakage (economics)Joint (building)EngineeringMechanical engineeringComputer scienceMaterials scienceMathematicsComposite material

Abstract

fetched live from OpenAlex

From the leakage tightness consideration, the behavior of gasketed joint relies very much on the actual gasket load and its variation during the different operating conditions. With the future implementation by the ASME of new design rules based on tightness, a more meaningful and precise evaluation of the gasket load is useful for the purpose of improved prediction of joint tightness. A new design procedure based on the traditional code design philosophy that also accounts for the flexibility of all elements of the joint as well as tightness and gasket creep is suggested. In this paper a general comprehensive method based on the gasket-bolt-flange elastic interaction is presented for the analysis of the joint. The proposed analytical model that is implemented in the “TightFlange” program will be supported by a numerical FEM and experimental investigations to assess the effect of the mechanical and thermal loading including pressure, external loads, thermal expansion and gasket creep on the leakage behavior of gaskets.

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.

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 score0.840
Threshold uncertainty score0.163

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.251
Teacher spread0.228 · 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

Quick stats

Citations13
Published2003
Admission routes1
Has abstractyes

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