The channel effect: Coupling of the detonation and the precursor shock wave by precompression of the explosive
Bibliographic record
Abstract
The high-explosive channel effect is investigated to study the coupling dynamics of the precursor shock wave with the detonation. This is achieved experimentally by using porous pentaerythritol tetranitrate (PETN) powder in square channels. It is found that the precursor shock wave causes the detonation to accelerate to approximately 1.5 times the detonation velocity of the porous PETN. This phenomenon is found to be almost independent of the fill gas and the initial pressure in the channel. It is found that the precursor shock wave is insufficiently strong to initiate the PETN layer before the arrival of the main detonation front, and that the mechanism responsible for the observed acceleration is precompression of the explosive layer by the precursor shock wave. This mechanism is modeled analytically by generalizing an existing model for the precursor shock wave dynamics with boundary layers. The results agree well qualitatively and relatively well quantitatively considering the assumptions that are made.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".