Influence of hydrodynamic instabilities on the propagation mechanism of\n fast flames
Bibliographic record
Abstract
The present work investigates the structure of fast supersonic turbulent\nflames typically observed as precursors to the onset of detonation. These high\nspeed deflagrations are obtained after the interaction of a detonation wave\nwith cylindrical obstacles. Two mixtures having the same propensity for local\nhot spot formation were considered, namely hydrogen-oxygen and methane-oxygen.\nIt was shown that the methane mixture sustained turbulent fast flames, while\nthe hydrogen mixture did not. Detailed high speed visualizations of nearly\ntwo-dimensional flow fields permitted to identify the key mechanism involved.\nThe strong vorticity generation associated with shock reflections in methane\npermitted to drive jets. These provided local enhancement of mixing rates,\nsustenance of pressure waves, organization of the front in stronger fewer modes\nand eventually the transition to detonation. In the hydrogen system, for\nsimilar thermo-chemical parameters, the absence of these jets did not permit to\nestablish such fast flames. This jetting slip line instability in shock\nreflections (and lack thereof in hydrogen) was correlated with the value of the\nisentropic exponent and its control of Mach shock jetting instability (Mach &\nRadulescu).\n
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".