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Record W2065437478 · doi:10.1115/ipc2012-90674

Cyclic Pressure Testing a Section of 34” Pipe Repaired Using the PETROSLEEVE Technology to Determine the Effect on a 50% Crack

2012· article· en· W2065437478 on OpenAlex
Rick Wang, Richard Kania, Robert Smyth, Ian R. Smyth

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
TopicStructural Integrity and Reliability Analysis
Canadian institutionsTransCanada (Canada)
Fundersnot available
KeywordsMaterials scienceCompression (physics)Pipeline transportPipeStructural engineeringHydrostatic testComposite materialParis' lawPipeline (software)Fracture mechanicsCrack closureEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

TransCanada Pipelines operates a large mainline pipeline transportation system. Engineering analysis and severe testing was performed to confirm that the PETROSLEEVE© Steel Compression Reinforcement Technology would arrest crack extension in large diameter pipe. This testing involved putting a 50% crack into a section of 862 mm diameter, 9.5mm wall thickness grade 448 pipe. Then a compression sleeve was installed while the pipe was pressurized to 3800 kPa (38% SMYS). Following sleeve installation, the test vessel was subjected to 9000 cycles 7880 to 2960 kPa (80%–30% SMYS); 200 cycles 7800 to 0 kPa (80%–0% SMYS); hold pressures of 8870 kPa (90% SMYS) for 4 hours and 10840 kPa (110% SMYS) for 2 hours. Following the cyclic pressuring, the crack was metallurgically inspected. It was reported by third party inspection that the compression sleeve reinforcement “can effectively suppress fatigue crack growth of an axial flaw (100mm long × 50% of the wall thickness deep) in the API X65 pipe.” This paper reviews the engineering and cyclic testing undertaken.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.194
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.257
Teacher spread0.238 · 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