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Record W2036646012 · doi:10.1139/l08-111

Application of friction pendulum system to the main control room of a nuclear power plant

2009· article· en· W2036646012 on OpenAlexvenueno aff
Woo Bum Kim, Kangmin Lee, Gil Hee Kim

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2009
Typearticle
Languageen
FieldEngineering
TopicEarthquake and Tsunami Effects
Canadian institutionsnot available
Fundersnot available
KeywordsEarthquake shaking tableNuclear power plantPendulumEngineeringBearing (navigation)Structural engineeringReliability (semiconductor)Control signalControl systemControl theory (sociology)Power (physics)Mechanical engineeringComputer sciencePhysicsControl (management)Electrical engineering

Abstract

fetched live from OpenAlex

An experimental and analytical study was performed to determine if the friction pendulum system (FPS) could be applied to the main control room (MCR) of a nuclear power plant as a seismic isolation device. A friction pendulum bearing was fabricated, and the dynamic performance of that bearing was evaluated. A partial model of the MCR with FPS was tested on a shaking table. The model consisted of a cabinet, an access floor, and four friction pendulum bearings. An artificial time history based on the MCR floor response spectrum was used as an earthquake input signal for the test. Analytical and experimental results were compared to verifiy their correlation and to enable the experimental study to cover a range of parametersnot previously studied in other similar experiments. Through these comparisons, it was affirmed that the proposed FPS seismic isolation system can be applied, with high reliability, to the MCR of a nuclear power plant.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.002
GPT teacher head0.143
Teacher spread0.141 · 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

Citations6
Published2009
Admission routes1
Has abstractyes

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