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Record W2725264171 · doi:10.2790/18092

Proceedings of the Seventh International Conference on NDE in Relation to Structural Integrity for Nuclear and Pressurised Components.\n12-14 May 2009 - Yokohama, Japan

2009· article· en· W2725264171 on OpenAlex
Kaisa Simola, Gandossi Luca, Alejandro Huerta

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJoint Research Centre (European Commission) · 2009
Typearticle
Languageen
FieldComputer Science
TopicDigital and Cyber Forensics
Canadian institutionsnot available
Fundersnot available
KeywordsBenchmark (surveying)Service (business)Risk analysis (engineering)Computer scienceBusinessMarketingGeography

Abstract

fetched live from OpenAlex

In 2005, the Joint Research Centre of the European Commission (JRC) together with the Nuclear Energy Agency of the OECD (NEA) launched a project for benchmarking various risk-informed in-service inspection (RI-ISI) methodologies. The project, called RISMET, had more than twenty participating organizations from Europe, U.S., Canada and Japan. The JRC acted as the technical coordinator of the project, and the NEA provided secretariat support.\nThe overall objective of the project was to apply, for the first time, various RI-ISI methodologies to the same case, i.e. selected piping systems in one nuclear power plant, with the idea of verifying whether they would lead to significantly different results. Also, a benchmarking exercise would ideally result in the identification of those phases in a methodology with the greatest potential to affect the outcome, and might suggest areas for further improvement.\nFour systems from the Swedish PWR Ringhals 4 were selected for the benchmark exercise. The following criteria were used for selecting these systems: All safety classes should be covered; a variety of degradation mechanisms should be covered; good coverage of risk categories should be achieved; systems with a significant increase or decrease in the new inspection program (before/after applying RI-ISI) should be included; and balance between initiating and mitigating systems should be ensured. Based on these criteria, the following systems were suggested by Ringhals and approved by the project team as the scope of the exercise: 1) Reactor coolant system, 2) Residual heat removal system, 3) Main steam system and 4) Condensate system.\nThe following approaches to define the ISI program were considered in the benchmark exercise: 1) Swedish regulatory requirements ("SKIFS"); 2) PWROG methodology; 3) PWROG methodology adapted to Swedish regulations ("PWROG Swedish"); 4) EPRI methodology; 5) Code Case N-716, "streamlined RI-ISI"; and 6) ASME Section XI (deterministic).\nThe application results were evaluated by five groups concentrating on the following issues: 1) Scope of application; 2) Failure Probability Analyses; 3) Consequence analyses; 4) Risk ranking, classification and selection of segments/sites to be included in inspection programs; and 5) Regulatory aspects. The evaluation included the identification of differences in the RI-ISI applications, the analysis of the importance of identified differences, and the comparison between RI-ISI and "traditional" inspection programs.\nEven if the scope of the benchmark was limited to four systems, the variety regarding safety class, potential degradation mechanisms and pipe break consequences ensured a good coverage of issues for a comparative study. The risk-informed methodologies showed some significant differences and resulted in slightly different risk ranking and selection of inspection sites. However, the results of the benchmark indicated that the risk impact of these differences is small, and the RI-ISI approaches identify safety important piping segments that are ignored by approaches not using the probabilistic safety assessment (PSA). The results of the benchmark exercise RISMET improve the knowledge on differences in approaches and their impact on plant safety, and promote the use of risk-informed ISI.\nThis paper summarizes the results of the RISMET benchmark exercise.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.071
GPT teacher head0.305
Teacher spread0.234 · 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