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Comparison of Containment Response for a CANDU 6 Station Blackout Sequence Using MAAP4-CANDU (v4.0.7) and GOTHIC (v7.2b)

2012· article· en· W1987883062 on OpenAlexaff
Sergei M. Petoukhov, Tuan Hung Nguyen, B. Awadh, P. Mani Mathew

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCombustion and Detonation Processes
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsBlackoutContainment (computer programming)Nuclear engineeringSequence (biology)Environmental scienceAtmosphere (unit)Core (optical fiber)EngineeringMeteorologyComputer sciencePhysicsChemistryTelecommunications

Abstract

fetched live from OpenAlex

The objective of this study is to compare containment simulation results predicted by MAAP4-CANDU v4.0.7 and GOTHIC v7.2b for a Station Blackout severe core damage accident, when the containment dousing spray system is not credited. The input parameters (mass and energy source terms into containment) for GOTHIC were generated by MAAP4-CANDU for the Station Blackout sequence. The GOTHIC (lumped parameter model) and MAAP4-CANDU containment nodalization models were very similar, thus facilitating direct comparison of the results. Analysis of the results demonstrated that the simulation results obtained with the two codes are similar. Good agreement was obtained for the containment pressure, gas temperature and containment atmosphere composition predictions.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.346

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 communication0.0000.000
Open science0.0000.000
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 head0.094
GPT teacher head0.372
Teacher spread0.278 · 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 designSimulation or modeling
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

Citations1
Published2012
Admission routes1
Has abstractyes

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