Fragment Velocities from Thermobaric Explosives in Metal Cylinders
Bibliographic record
Abstract
Abstract Thermobaric explosives (TBXs) have been primarily used for their blast, rather than for their fragmentation, characteristics. This work reports on an investigation, using a flash X‐ray imaging technique, of the ability of TBXs to shatter metal casings and to propel the resulting fragments. Three casing materials were used, AISI 1026 steel, ductile iron, and grey cast iron, while two different TBX compositions were used, with C4 serving as a benchmark. The fracture behavior of the casings, as a function of explosive fill and material characteristics, was as expected. One TBX formulation exhibited a run distance to detonation. The Gurney equation was used to correlate and compare the final fragment velocities. It was found that a larger fraction of the explosive energy was available to propel fragments in these two TBX compositions than a comparable amount of C4. This fraction of energy was influenced by the confinement of the detonation products and the ignition delay of the metal powders. These two factors had a greater influence on the fragment velocities than did material characteristics.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".