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Record W2031948450 · doi:10.1115/1.3147983

The Influence of the Initial Ovality Tolerance on the Nonlinear Cycling Analysis of Piping Bends

2009· article· en· W2031948450 on OpenAlexaff
Dan Vlaicu

Bibliographic record

VenueJournal of Pressure Vessel Technology · 2009
Typearticle
Languageen
FieldEngineering
TopicHigh Temperature Alloys and Creep
Canadian institutionsOntario Power Generation
Fundersnot available
KeywordsOvalityShakedownPipingStructural engineeringFinite element methodNonlinear systemEngineeringMaterials scienceMechanicsPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

This paper presents the nonlinear shakedown analysis using finite element method for piping bends taking into account the maximum ovality tolerance. The resulting strain state of the stabilized cycle for the pipe bend including the maximum ovality tolerance is compared with the strain state for the perfectly round pipe bend. The boundary between shakedown and ratcheting is presented through global and local criteria in terms of displacements, and the Bree diagram (1989, “Plastic Deformation of a Closed Tube Due to Interaction of Pressure Stresses and Cyclic Thermal Stress,” Int. J. Mech. Sci., 31(11/12), pp. 865–892) converted into the interaction diagram is used to correlate the results of the nonlinear cyclic analyses and ASME Code limits for primary and secondary loads. This paper also discusses the choice of the global shakedown linked with the axial strain and the local through-thickness shakedown associated with the hoop strain. Furthermore, a simple fatigue calculation is conducted to illustrate the difference between pipe bends with perfectly round cross section and pipe bends with initial ovality under similar boundary conditions.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.246
Teacher spread0.239 · 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

Citations22
Published2009
Admission routes1
Has abstractyes

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