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Record W1966253894 · doi:10.1115/ipc2008-64101

Determination of Mechanical Properties of High Strength Linepipe

2008· article· en· W1966253894 on OpenAlexaffabout
R. M. Klein, Laurie Collins, Fathi Hamad, Xiande Chen, Dengqi Bai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsEVRAZ (Canada)
Fundersnot available
KeywordsMaterials scienceCoatingWeldingSpiral (railway)Ultimate tensile strengthBar (unit)Composite materialThermalAnisotropyMetallurgyMechanical engineeringEngineeringGeology

Abstract

fetched live from OpenAlex

Commercial scale trials of X100 for Artic gas transmission pipelines have been conducted at IPSCO. Different alloying systems and thermo-mechanical controlled processes have been employed to make X100 coils. The coils were made into spirally welded pipes at IPSCO Spiral Mill in Regina, Canada. These pipes were tested in different conditions, namely as-welded, after hydro-testing, and after thermal coating. Therefore, the effects of as-supplied material and pipe-making processes on the final mechanical properties of pipe were evaluated. It was found that the tensile specimen size and sampling location had a noticeable effect on the testing results. The difference was also observed between the flattened strap specimen and round bar. The influence of the anisotropy of the as-supplied coils and the thermal coating on the final pipe properties will also be presented.

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)0.001
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.257
Teacher spread0.219 · 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

Citations3
Published2008
Admission routes2
Has abstractyes

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Same topicHydrogen embrittlement and corrosion behaviors in metalsFrench-language works237,207