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Effect of Monotonic and Cyclic Bending Deformations on NPS12 Wrinkled Steel Pipeline

2008· article· en· W1980333367 on OpenAlexafffund
Sreekanta Das, J. J. Roger Cheng, David W. Murray, Navid Nazemi

Bibliographic record

VenueJournal of Structural Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsUniversity of WindsorUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBendingWrinkleFracture (geology)Materials scienceStructural engineeringDeformation (meteorology)Composite materialPipeline (software)Monotonic functionEngineeringMathematicsMechanical engineering

Abstract

fetched live from OpenAlex

Full-scale laboratory tests on 1,270mm(50in.) long, 305mm(12in.) diameter steel pipes were carried out to investigate their postwrinkling behavior when subjected to monotonic and cyclic bending loads. Under monotonically increasing bending loads and deformations, the test specimens exhibited the ability to undergo significant plastic deformation and did not fail in fracture (leak or rupture in the pipe wall). However, when subjected to cyclic elastic-plastic strain reversals due to cyclic bending deformations, fracture developed at the wrinkle. This study indicated that the current pipeline design method using wrinkle limit strain is conservative. The paper presents test procedures, postwrinkling behavior, and fracture limit strain values obtained from four full-scale tests.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.211
Teacher spread0.206 · 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 designBench or experimental
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

Citations7
Published2008
Admission routes2
Has abstractyes

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