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Record W2005438806 · doi:10.1115/ipc2002-27118

Long Seam Welds in Gas and Liquids Pipelines and Near-Neutral pH Stress Corrosion Cracking and Corrosion Fatigue

2002· article· en· W2005438806 on OpenAlexaffabout
Reg Eadie, Larry W. Hung, R. Sutherby, G. Roy, Guowu Shen, Jing‐Li Luo, Weixing Chen, Ted C. Hamre ́, Fraser King, Tom Jack

Bibliographic record

Venue4th International Pipeline Conference, Parts A and B · 2002
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsNova Chemicals (Canada)TransCanada (Canada)Nalcor Energy (Canada)University of Alberta
FundersBattelle
KeywordsWeldingMaterials scienceCorrosionMetallurgyPipeline transportStress corrosion crackingStress (linguistics)CreepResidual stressCrackingElectrodeComposite materialEngineering

Abstract

fetched live from OpenAlex

Near-neutral pH SCC and corrosion fatigue at the toe of the longitudinal weld has been responsible for several pipeline failures in Canada. In this paper examples of such failures and other in-service toe cracks are discussed. The results of an investigation into several factors affecting near-neutral pH SCC at the toe of the longitudinal weld are discussed and summarized. Four different pipes were evaluated including both double submerged arc welded (DSAW) pipe and electrical resistance welded (ERW) pipe. The properties considered were 1) residual stresses near the toe of the weld as determined by hole drilling and slitting, 2) stress-raising characteristics of the weld shape as determined by elastic finite element analysis and 3) electrochemical properties near the toe of the weld as determined by the scanning reference electrode technique. For one line pipe we also evaluated the room-temperature creep characteristics near the weld with and without cyclic loading. The implications of these results for near-neutral pH SCC and corrosion fatigue are discussed. It is concluded that high stresses originating from the stress-multiplying effects of the weld crown contributed significantly to the failures.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.933

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.290
Teacher spread0.247 · 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 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
Published2002
Admission routes2
Has abstractyes

Explore more

Same venue4th International Pipeline Conference, Parts A and BSame topicHydrogen embrittlement and corrosion behaviors in metalsFrench-language works237,207