Guardrail impact simulation for remote guided vehicles (RGV's) used in nuclear generating stations
Bibliographic record
Abstract
During nuclear station refurbishment, transportation of tools, equipment, and irradiated reactor components is achieved using remote guided vehicles (RGV’s) in order to keep worker radiation doses as low as reasonably achievable. A removable guardrail system capable of withstanding RGV impact was developed to eliminate the risk of accidents taking place in the reactor vault. The guardrails are mounted to platform edges using two bolts and two shear pins. In anticipation of frequent removal of reinstallation of guardrails by workers, this study proposes that guardrails be installed without bolting, relying solely on the guardrails’ shear pins to provide the required restraint. A parametric impact simulation was carried out in order to evaluate the perform of the guardrails when installed without bolting. The analysis work was carried out using LS-DYNA, an advanced simulation software package capable of simulating real world problems using explicit time integration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".