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Record W2084113169 · doi:10.1115/pvp2007-26580

Simplified Primary Stress Evaluation Procedure for Thinned Class 1 Piping Elbow

2007· article· en· W2084113169 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 institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsPipingStress resultantsStructural engineeringStress (linguistics)Finite element methodBendingAdinaComponent (thermodynamics)Computer scienceEngineeringMaterials scienceMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Inelastic finite element analysis offers an alternate procedure to evaluate damaged piping components for their fitness-for-service purposes. Redistribution of stress resultants beyond yield taken into account in a typical inelastic analysis becomes significant as a damaged piping component may not satisfy code stress criteria based on elastic analysis. A complete inelastic analysis to estimate the limit load of the component may be a numerically intensive and cumbersome process. This paper involves a two step analytical process — unloading a component to satisfy code stress categories after a prior plastic distribution of stress resultants is setup in the component. Linearization of stresses in the thinned section has shown reduction in the general membrane and membrane plus bending stress intensities when analyzed using this simplified method. To illustrate the method, an analysis is performed on both thick and thin pipe with local thinning.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.620
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.293
Teacher spread0.274 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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