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Record W150570502

Finite Element Analysis For Telescopic Deformation And Tearing Rupture of Wrinkled Pipe

2009· article· en· W150570502 on OpenAlexaff
Navid Nazemi, Sreekanta Das, Sara Kenno

Bibliographic record

VenueInternational Journal of Offshore and Polar Engineering · 2009
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTearingWrinkleDeformation (meteorology)Finite element methodStructural engineeringFracture (geology)BucklingStress (linguistics)BuckleTransverse planeCurvatureMaterials scienceEngineeringComposite materialGeometry
DOInot available

Abstract

fetched live from OpenAlex

Buried pipeline may be subjected to various complex combinations of loads and deformations. This may result in localized curvature, strains and associated deformations in the pipe wall. As a result, wrinkle (local buckling in the pipe wall) may form. The wrinkled pipeline may then develop a fracture and even rupture in the pipe wall and lose its structural integrity if it is subjected to further sustained deformation and/or load. When an NPS10 field line pipe ruptured due to tearing in the pipe wall in the wrinkle region, it was felt that a wrinkle formed in the line pipe, and then or simultaneously the wrinkle region of the line pipe was subjected to transverse load, causing the tearing-type rupture at the foot of the wrinkle, although actual load-deformation history wan not known. Thus, a research program consisting of full-scale tests and parametric study using the finite element method was designed and undertaken to understand the load-deformation combination that may produce a deformed shape and a tearing rupture that looks similar to the one observed in the field NPS10 line pipe. This paper discusses results obtained from the tests and parametric study.

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: none
Teacher disagreement score0.554
Threshold uncertainty score0.401

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 head0.005
GPT teacher head0.215
Teacher spread0.209 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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