Propagation of Detonation Waves from an Energy Conservation Viewpoint
Bibliographic record
Abstract
The work reported here relates to the study of the propagation of selfsustaining detonation waves when such waves are not supported, in a nonsteady flow situation, by a flow of pressurized fluid behind the wave. The latter is the case for normal shock waves, of moderate strength without detonation, or with strong shocks perpetrating combustion when such shocks travel into combustible mixtures. The combustion process is normally of the Rayleigh type and occurs in a relatively thin layer behind the shock or detonation wave. For a self propagating, selfsustaining, detonation wave the work required to compress, progressively, each elemental layer of reactants has to be extracted from expansion, following combustion, of the layer immediately upstream of the layer downstream that has yet to be compressed and ignited by the propagating detonation wave. It is shown that a self-sustaining, self propagating detonation wave produces a situation which is essentially identical to that which would occur following constant volume combustion, of stationary reactants, in the combustion tube. Based on prior work by Foa it was found that the expanded material (products) produced by the detonation wave did not have sufficient energy to keep pace with the detonation wave and hence push the detonation wave to propagate at an even higher velocity than the very high velocity achieved by the detonation process.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".