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Record W2532929446 · doi:10.1115/icone24-60282

Comparison of the ASME, RCC-M and ISO Requirements for Welding Qualifications and Welding Quality

2016· article· en· W2532929446 on OpenAlexaboutno aff
M. Consonni, Andrew Wasylyk, Stéphane Leclerc, Walter Sperko, Philippe Malouines

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsnot available
FundersDoosan Heavy Industries and ConstructionAreva
KeywordsHarmonizationWeldingEngineeringWork (physics)Pressure vesselCode (set theory)Quality (philosophy)Quality assuranceManufacturing engineeringMechanical engineeringComputer scienceOperations management

Abstract

fetched live from OpenAlex

This paper provides a comparison between the requirements for the qualification of welding procedures, welders and welding operators, as well as for welding supervision/coordination and welding quality according to the ASME Boiler & Pressure Vessel code (ASME BPVC Sections III and IX), the Afcen RCC-M code (France) for nuclear plant components, and ISO standards referenced to by the latter. The work was carried out within an international project that included other major codes and standards applied in the Nuclear sector, ie CSA (Canada), JSME (Japan), KEPIC (Korea) and Rostechnadzor PNAE G-7 (Russia), as part of a larger effort towards harmonization of nuclear pressure-boundary codes and standards. The comparison work aimed at identifying significant differences, as well as areas of current or potential convergence and future harmonization of the abovementioned codes and standards. A line-by-line comparison was carried out, using the ASME BPVC as the baseline. Corresponding requirements in the different codes and standards were identified and categorized as ‘identical’, ‘equivalent’, ‘technically different’ or ‘not specified’ (when addressed by the ASME BPVC only). The most significant differences are discussed and the main findings are presented, including upcoming code and standard changes that may affect harmonization. Concluding remarks are provided with regard to the future effort required for harmonization of the codes and standards considered, through convergence and/or reconciliation.

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)0.023
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.135
GPT teacher head0.419
Teacher spread0.283 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations0
Published2016
Admission routes1
Has abstractyes

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