Impact Tests for IRIS_2010 Benchmark Exercise
Bibliographic record
Abstract
IRIS_2010 benchmark was an exercise in OECD/NEA/CSNI framework. This exercise concentrated on improving robustness assessment methodologies for structures impacted by missiles. This article describes experimental tests included in the exercise. These tests consisted of two tests for bending, three for punching and one for combined punching and bending behaviour of reinforced concrete walls under impact loading. The test for combined behaviour was carried out in Meppen, Germany in the 1980’s, while all the other tests were carried out by VTT Technical research centre of Finland during the spring of 2010. In the bending behaviour tests, 0.15 m thick simply supported square concrete walls with span width of 2 m were impacted with soft missiles weighing ∼50 kg and having velocity of ∼110 m/s at the impact moment. The impacts resulted maximum displacements of 29-32 mm at the centre of the wall with the permanent values being 8-9 mm. In the punching behaviour tests, similar walls but with thickness of 0.25 m were impacted with hard missiles weighing ∼47.5 kg and having velocity of ∼135 m/s at the impact moment. The impacts resulted perforation of the wall by the missile with residual velocity of the missile being 34-46 m/s. In addition, the walls suffered severe scabbing on the backside with the scabbed area being 1.00-1.12 m2.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".