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Record W2317483934 · doi:10.4043/26466-ms

Practical Considerations for Standard Flaw Acceptance Criteria on Subsea Pipeline Girth Welds

2016· article· en· W2317483934 on OpenAlexaff
K. D. Reeves, Thi Mai Huong Tran

Bibliographic record

VenueOffshore Technology Conference Asia · 2016
Typearticle
Languageen
FieldEngineering
TopicFatigue and fracture mechanics
Canadian institutionsIntecsea (Canada)
Fundersnot available
KeywordsWorkmanshipSubseaAcceptance testingReliability engineeringPipeline transportComputer sciencePipeline (software)EngineeringOperations managementMarine engineeringMechanical engineeringSoftware engineering

Abstract

fetched live from OpenAlex

Abstract Modern subsea pipelines are now routinely exposed to high strains. When above yield they receive appropriate attention since Engineering Critical Assessment (ECA) derived flaw acceptance criteria would normally be considered mandatory. For stress based designs, (applied axial strain up to 0. 4%), standard flaw acceptance criteria, that originated with empirically based workmanship levels, will be applied unless an optional ECA has been performed. Some of the best current guidance for ECA on pipeline girth welds can be found in DNV-OS-F01 [1]. DNV also provide guidance for workmanship level flaw sizes, (height and length) to be used with Automated Ultrasonic Testing (AUT). In this paper the tolerability of the DNV-guided workmanship level flaw sizes has been assessed using ECA. The methodology used in this study is in line with the guidance as per DNV-OS-F101 (2013) [1]. When applying this it can be seen that DNV-guided workmanship flaw sizes may not be considered appropriate when the applied strain approaches yield level. This finding implies that the extra testing and analysis required for ECA may result in more stringent acceptance criteria, which does not make sense and creates confusion in the industry. It may be that the recommended ECA methods are overly conservative or the recommended workmanship flaw sizes are not actually safe, or both. New initiatives have recently been launched, (e.g. TWI) to standardize ECA for pipeline girth welds and based on the findings here it is recommended that these studies also check workmanship flaw acceptance and if necessary restrict further the domain in which they can be applied, e.g. adjust the maximum applied stress to well below yield. It would be useful if a standard ECA approach could consistently allow less stringent criteria over the domain that ‘workmanship’ acceptance criteria can be applied when overmatching weld strength and good toughness data are ensured by testing and enhanced welding control.

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)0.049
metaresearch head score (Gemma)0.118
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.049
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.118
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0050.003
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.040
GPT teacher head0.304
Teacher spread0.264 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2016
Admission routes1
Has abstractyes

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